StreetFighter-Tutorial.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Street Fighter Tutorial\n",
    "This notebook accompanies the YouTube tutorial on <a href='https://www.youtube.com/c/NicholasRenotte'>Nicholas Renotte</a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Setup StreetFighter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "!pip install gym gym-retro"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import retro to play Street Fighter using a ROM\n",
    "import retro\n",
    "# Import time to slow down game\n",
    "import time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['1942-Nes',\n",
       " '1943-Nes',\n",
       " '3NinjasKickBack-Genesis',\n",
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       " 'AbadoxTheDeadlyInnerWar-Nes',\n",
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       " 'ActionPachio-Snes',\n",
       " 'AddamsFamily-GameBoy',\n",
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       " 'AddamsFamily-Sms',\n",
       " 'AddamsFamily-Snes',\n",
       " 'AddamsFamilyPugsleysScavengerHunt-Nes',\n",
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       " 'AdvancedBusterhawkGleylancer-Genesis',\n",
       " 'Adventure-Atari2600',\n",
       " 'AdventureIsland-GameBoy',\n",
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       " 'AdventuresOfBatmanAndRobin-Genesis',\n",
       " 'AdventuresOfBayouBilly-Nes',\n",
       " 'AdventuresOfDinoRiki-Nes',\n",
       " 'AdventuresOfDrFranken-Snes',\n",
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       " 'AdventuresOfMightyMax-Genesis',\n",
       " 'AdventuresOfMightyMax-Snes',\n",
       " 'AdventuresOfRockyAndBullwinkleAndFriends-Genesis',\n",
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       " 'AdventuresOfRockyAndBullwinkleAndFriends-Snes',\n",
       " 'AdventuresOfStarSaver-GameBoy',\n",
       " 'AdventuresOfYogiBear-Snes',\n",
       " 'AeroFighters-Snes',\n",
       " 'AeroStar-GameBoy',\n",
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       " 'Amagon-Nes',\n",
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       " 'ArdyLightfoot-Snes',\n",
       " 'Argus-Nes',\n",
       " 'ArielTheLittleMermaid-Genesis',\n",
       " 'Arkanoid-Nes',\n",
       " 'ArkistasRing-Nes',\n",
       " 'Armadillo-Nes',\n",
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       " 'ArtOfFighting-Genesis',\n",
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       " 'Asterix-Atari2600',\n",
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       " 'AsterixAndObelix-GameBoy',\n",
       " 'AsterixAndTheGreatRescue-Genesis',\n",
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       " 'AsterixAndThePowerOfTheGods-Genesis',\n",
       " 'AsterixAndTheSecretMission-Sms',\n",
       " 'Asteroids-Atari2600',\n",
       " 'Asteroids-GameBoy',\n",
       " 'AstroRabby-GameBoy',\n",
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       " 'Astyanax-Nes',\n",
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       " 'Axelay-Snes',\n",
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       " 'BWings-Nes',\n",
       " 'BackToTheFuturePartIII-Genesis',\n",
       " 'BadDudes-Nes',\n",
       " 'BadStreetBrawler-Nes',\n",
       " 'BakuretsuSenshiWarrior-GameBoy',\n",
       " 'BalloonFight-Nes',\n",
       " 'BalloonKid-GameBoy',\n",
       " 'Baltron-Nes',\n",
       " 'BananaPrince-Nes',\n",
       " 'BanishingRacer-GameBoy',\n",
       " 'BankHeist-Atari2600',\n",
       " 'Barbie-Nes',\n",
       " 'BarkleyShutUpAndJam-Genesis',\n",
       " 'BarkleyShutUpAndJam2-Genesis',\n",
       " 'BarneysHideAndSeekGame-Genesis',\n",
       " 'BartSimpsonsEscapeFromCampDeadly-GameBoy',\n",
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       " 'BatmanReturns-Snes',\n",
       " 'BattleArenaToshinden-GameBoy',\n",
       " 'BattleBull-GameBoy',\n",
       " 'BattleMasterKyuukyokuNoSenshiTachi-Snes',\n",
       " 'BattleSquadron-Genesis',\n",
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       " 'Battletoads-Genesis',\n",
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       " 'BillAndTedsExcellentGameBoyAdventure-GameBoy',\n",
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       " 'BioMiracleBokutteUpa-Nes',\n",
       " 'BioSenshiDanIncreaserTonoTatakai-Nes',\n",
       " 'BirdWeek-Nes',\n",
       " 'BishoujoSenshiSailorMoon-Genesis',\n",
       " 'BishoujoSenshiSailorMoonR-Snes',\n",
       " 'BlaZeonTheBioCyborgChallenge-Snes',\n",
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       " 'BladesOfVengeance-Genesis',\n",
       " 'BlockKuzushi-Snes',\n",
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       " 'BodyCount-Genesis',\n",
       " 'BombJack-GameBoy',\n",
       " 'BomberRaid-Sms',\n",
       " 'BonkersWaxUp-Sms',\n",
       " 'BoobyBoys-GameBoy',\n",
       " 'BoobyKids-Nes',\n",
       " 'BoogermanAPickAndFlickAdventure-Genesis',\n",
       " 'BoogermanAPickAndFlickAdventure-Snes',\n",
       " 'BoogieWoogieBowling-Genesis',\n",
       " 'BoulderDash-GameBoy',\n",
       " 'BoulderDash-Nes',\n",
       " 'Bowling-Atari2600',\n",
       " 'Boxing-Atari2600',\n",
       " 'BoxingLegendsOfTheRing-Genesis',\n",
       " 'BramStokersDracula-Genesis',\n",
       " 'BramStokersDracula-Nes',\n",
       " 'BramStokersDracula-Snes',\n",
       " 'BrawlBrothers-Snes',\n",
       " 'BreakThru-Nes',\n",
       " 'Breakout-Atari2600',\n",
       " 'BronkieTheBronchiasaurus-Snes',\n",
       " 'BubbaNStix-Genesis',\n",
       " 'BubbleAndSqueak-Genesis',\n",
       " 'BubbleBobble-Nes',\n",
       " 'BubbleBobble-Sms',\n",
       " 'BubbleBobblePart2-Nes',\n",
       " 'BubbleGhost-GameBoy',\n",
       " 'BubsyII-Genesis',\n",
       " 'BubsyII-Snes',\n",
       " 'BubsyInClawsEncountersOfTheFurredKind-Genesis',\n",
       " 'BubsyInClawsEncountersOfTheFurredKind-Snes',\n",
       " 'BuckyOHare-Nes',\n",
       " 'BugsBunnyBirthdayBlowout-Nes',\n",
       " 'BullsVersusBlazersAndTheNBAPlayoffs-Genesis',\n",
       " 'BullsVsLakersAndTheNBAPlayoffs-Genesis',\n",
       " 'BuraiFighter-Nes',\n",
       " 'BurningForce-Genesis',\n",
       " 'CacomaKnightInBizyland-Snes',\n",
       " 'Cadash-Genesis',\n",
       " 'CalRipkenJrBaseball-Genesis',\n",
       " 'Caliber50-Genesis',\n",
       " 'CaliforniaGames-Genesis',\n",
       " 'Cameltry-Snes',\n",
       " 'CannonFodder-Genesis',\n",
       " 'CannonFodder-Snes',\n",
       " 'CaptainAmericaAndTheAvengers-Genesis',\n",
       " 'CaptainAmericaAndTheAvengers-Nes',\n",
       " 'CaptainAmericaAndTheAvengers-Snes',\n",
       " 'CaptainCommando-Snes',\n",
       " 'CaptainPlanetAndThePlaneteers-Genesis',\n",
       " 'CaptainPlanetAndThePlaneteers-Nes',\n",
       " 'CaptainSilver-Nes',\n",
       " 'Carnival-Atari2600',\n",
       " 'Castelian-Nes',\n",
       " 'CastleOfIllusion-Genesis',\n",
       " 'Castlevania-Nes',\n",
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       " 'CastlevaniaDraculaX-Snes',\n",
       " 'CastlevaniaIIIDraculasCurse-Nes',\n",
       " 'CastlevaniaTheNewGeneration-Genesis',\n",
       " 'CatNindenTeyandee-Nes',\n",
       " 'Centipede-Atari2600',\n",
       " 'ChacknPop-Nes',\n",
       " 'Challenger-Nes',\n",
       " 'ChampionsWorldClassSoccer-Genesis',\n",
       " 'ChampionshipProAm-Genesis',\n",
       " 'ChaosEngine-Genesis',\n",
       " 'ChaseHQII-Genesis',\n",
       " 'CheeseCatAstropheStarringSpeedyGonzales-Genesis',\n",
       " 'CheeseCatAstropheStarringSpeedyGonzales-Sms',\n",
       " 'ChesterCheetahTooCoolToFool-Genesis',\n",
       " 'ChesterCheetahTooCoolToFool-Snes',\n",
       " 'ChesterCheetahWildWildQuest-Genesis',\n",
       " 'ChesterCheetahWildWildQuest-Snes',\n",
       " 'ChiChisProChallengeGolf-Genesis',\n",
       " 'ChikiChikiBoys-Genesis',\n",
       " 'Choplifter-Nes',\n",
       " 'ChoplifterIIIRescueSurvive-Snes',\n",
       " 'ChopperCommand-Atari2600',\n",
       " 'ChouFuyuuYousaiExedExes-Nes',\n",
       " 'ChoujikuuYousaiMacross-Nes',\n",
       " 'ChoujikuuYousaiMacrossScrambledValkyrie-Snes',\n",
       " 'ChubbyCherub-Nes',\n",
       " 'ChuckRock-Genesis',\n",
       " 'ChuckRock-Sms',\n",
       " 'ChuckRock-Snes',\n",
       " 'ChuckRockIISonOfChuck-Genesis',\n",
       " 'ChuckRockIISonOfChuck-Sms',\n",
       " 'CircusCaper-Nes',\n",
       " 'CircusCharlie-Nes',\n",
       " 'CityConnection-Nes',\n",
       " 'ClayFighter-Genesis',\n",
       " 'Claymates-Snes',\n",
       " 'Cliffhanger-Genesis',\n",
       " 'Cliffhanger-Nes',\n",
       " 'Cliffhanger-Snes',\n",
       " 'CloudMaster-Sms',\n",
       " 'CluCluLand-Nes',\n",
       " 'CobraTriangle-Nes',\n",
       " 'CodeNameViper-Nes',\n",
       " 'CollegeSlam-Genesis',\n",
       " 'Columns-Genesis',\n",
       " 'ColumnsIII-Genesis',\n",
       " 'CombatCars-Genesis',\n",
       " 'ComicalMachineGunJoe-Sms',\n",
       " 'ComixZone-Genesis',\n",
       " 'Conan-Nes',\n",
       " 'CongosCaper-Snes',\n",
       " 'ConquestOfTheCrystalPalace-Nes',\n",
       " 'ContraForce-Nes',\n",
       " 'CoolSpot-Genesis',\n",
       " 'CoolSpot-Sms',\n",
       " 'CoolSpot-Snes',\n",
       " 'CosmicEpsilon-Nes',\n",
       " 'CosmoGangTheVideo-Snes',\n",
       " 'CrackDown-Genesis',\n",
       " 'CrazyClimber-Atari2600',\n",
       " 'CrossFire-Nes',\n",
       " 'CrueBallHeavyMetalPinball-Genesis',\n",
       " 'Curse-Genesis',\n",
       " 'CutieSuzukiNoRingsideAngel-Genesis',\n",
       " 'CutthroatIsland-Genesis',\n",
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       " 'Cyberball-Genesis',\n",
       " 'Cybernator-Snes',\n",
       " 'CyborgJustice-Genesis',\n",
       " 'DJBoy-Genesis',\n",
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       " 'Darwin4081-Genesis',\n",
       " 'DashGalaxyInTheAlienAsylum-Nes',\n",
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       " 'DazeBeforeChristmas-Genesis',\n",
       " 'DazeBeforeChristmas-Snes',\n",
       " 'DeadlyMoves-Genesis',\n",
       " 'DeathDuel-Genesis',\n",
       " 'DeepDuckTroubleStarringDonaldDuck-Sms',\n",
       " 'Defender-Atari2600',\n",
       " 'DefenderII-Nes',\n",
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       " 'DesertStrikeReturnToTheGulf-Genesis',\n",
       " 'DevilCrashMD-Genesis',\n",
       " 'DevilishTheNextPossession-Genesis',\n",
       " 'DickTracy-Genesis',\n",
       " 'DickTracy-Sms',\n",
       " 'DickVitalesAwesomeBabyCollegeHoops-Genesis',\n",
       " 'DigDugIITroubleInParadise-Nes',\n",
       " 'DiggerTheLegendOfTheLostCity-Nes',\n",
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       " 'DinoCity-Snes',\n",
       " 'DinoLand-Genesis',\n",
       " 'DirtyHarry-Nes',\n",
       " 'DonDokoDon-Nes',\n",
       " 'DonkeyKong-Nes',\n",
       " 'DonkeyKong3-Nes',\n",
       " 'DonkeyKongCountry-Snes',\n",
       " 'DonkeyKongCountry2-Snes',\n",
       " 'DonkeyKongCountry3DixieKongsDoubleTrouble-Snes',\n",
       " 'DonkeyKongJr-Nes',\n",
       " 'DoubleDragon-Genesis',\n",
       " 'DoubleDragon-Nes',\n",
       " 'DoubleDragonIITheRevenge-Genesis',\n",
       " 'DoubleDragonIITheRevenge-Nes',\n",
       " 'DoubleDragonVTheShadowFalls-Genesis',\n",
       " 'DoubleDribbleThePlayoffEdition-Genesis',\n",
       " 'DoubleDunk-Atari2600',\n",
       " 'DrRobotniksMeanBeanMachine-Genesis',\n",
       " 'DragonPower-Nes',\n",
       " 'DragonSpiritTheNewLegend-Nes',\n",
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       " 'DragonTheBruceLeeStory-Snes',\n",
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       " 'Enduro-Atari2600',\n",
       " 'EuropeanClubSoccer-Genesis',\n",
       " 'ExMutants-Genesis',\n",
       " 'Exerion-Nes',\n",
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       " 'FantasyZoneIITheTearsOfOpaOpa-Sms',\n",
       " 'FantasyZoneTheMaze-Sms',\n",
       " 'FatalFury-Genesis',\n",
       " 'FatalFury2-Genesis',\n",
       " 'FatalLabyrinth-Genesis',\n",
       " 'FatalRewind-Genesis',\n",
       " 'FelixTheCat-Nes',\n",
       " 'FerrariGrandPrixChallenge-Genesis',\n",
       " 'FightingMasters-Genesis',\n",
       " 'FinalBubbleBobble-Sms',\n",
       " 'FinalFight-Snes',\n",
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       " 'FireAndIce-Sms',\n",
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       " 'FishingDerby-Atari2600',\n",
       " 'FistOfTheNorthStar-Nes',\n",
       " 'Flicky-Genesis',\n",
       " 'Flintstones-Genesis',\n",
       " 'Flintstones-Snes',\n",
       " 'FlintstonesTheRescueOfDinoAndHoppy-Nes',\n",
       " 'FlyingDragonTheSecretScroll-Nes',\n",
       " 'FlyingHero-Nes',\n",
       " 'FlyingHeroBugyuruNoDaibouken-Snes',\n",
       " 'ForemanForReal-Genesis',\n",
       " 'ForgottenWorlds-Genesis',\n",
       " 'FormationZ-Nes',\n",
       " 'FoxsPeterPanAndThePiratesTheRevengeOfCaptainHook-Nes',\n",
       " 'FrankThomasBigHurtBaseball-Genesis',\n",
       " 'Freeway-Atari2600',\n",
       " 'Frogger-Genesis',\n",
       " 'FrontLine-Nes',\n",
       " 'Frostbite-Atari2600',\n",
       " 'FushigiNoOshiroPitPot-Sms',\n",
       " 'GIJoeARealAmericanHero-Nes',\n",
       " 'GIJoeTheAtlantisFactor-Nes',\n",
       " 'GadgetTwins-Genesis',\n",
       " 'Gaiares-Genesis',\n",
       " 'GainGround-Genesis',\n",
       " 'GalagaDemonsOfDeath-Nes',\n",
       " 'GalaxyForce-Sms',\n",
       " 'GalaxyForceII-Genesis',\n",
       " 'Gauntlet-Genesis',\n",
       " 'Gauntlet-Sms',\n",
       " 'Geimos-Nes',\n",
       " 'GeneralChaos-Genesis',\n",
       " 'GhostsnGoblins-Nes',\n",
       " 'GhoulSchool-Nes',\n",
       " 'GhoulsnGhosts-Genesis',\n",
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       " 'GlobalDefense-Sms',\n",
       " 'GlobalGladiators-Genesis',\n",
       " 'Gods-Genesis',\n",
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       " 'GokujouParodius-Snes',\n",
       " 'GoldenAxe-Genesis',\n",
       " 'GoldenAxeIII-Genesis',\n",
       " 'Gopher-Atari2600',\n",
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       " 'Gremlins2TheNewBatch-Nes',\n",
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       " 'HardDrivin-Genesis',\n",
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       " 'IncredibleHulk-Snes',\n",
       " 'IndianaJonesAndTheLastCrusade-Genesis',\n",
       " 'IndianaJonesAndTheTempleOfDoom-Nes',\n",
       " 'InsectorX-Genesis',\n",
       " 'InsectorX-Nes',\n",
       " 'InspectorGadget-Snes',\n",
       " 'IronSwordWizardsAndWarriorsII-Nes',\n",
       " 'IshidoTheWayOfStones-Genesis',\n",
       " 'IsolatedWarrior-Nes',\n",
       " 'ItchyAndScratchyGame-Snes',\n",
       " 'IzzysQuestForTheOlympicRings-Genesis',\n",
       " 'IzzysQuestForTheOlympicRings-Snes',\n",
       " 'Jackal-Nes',\n",
       " 'JackieChansActionKungFu-Nes',\n",
       " 'JajamaruNoDaibouken-Nes',\n",
       " 'JamesBond007TheDuel-Genesis',\n",
       " 'JamesBond007TheDuel-Sms',\n",
       " 'JamesBondJr-Nes',\n",
       " 'JamesPond2CodenameRoboCod-Sms',\n",
       " 'JamesPond3-Genesis',\n",
       " 'JamesPondIICodenameRobocod-Genesis',\n",
       " 'JamesPondUnderwaterAgent-Genesis',\n",
       " 'Jamesbond-Atari2600',\n",
       " 'Jaws-Nes',\n",
       " 'JellyBoy-Snes',\n",
       " 'JetsonsCogswellsCaper-Nes',\n",
       " 'JetsonsInvasionOfThePlanetPirates-Snes',\n",
       " 'JewelMaster-Genesis',\n",
       " 'JoeAndMac-Genesis',\n",
       " 'JoeAndMac-Nes',\n",
       " 'JoeAndMac-Snes',\n",
       " 'JoeAndMac2LostInTheTropics-Snes',\n",
       " 'JourneyEscape-Atari2600',\n",
       " 'JourneyToSilius-Nes',\n",
       " 'Joust-Nes',\n",
       " 'JuJuDensetsuTokiGoingApeSpit-Genesis',\n",
       " 'JudgeDredd-Genesis',\n",
       " 'JudgeDredd-Snes',\n",
       " 'JungleBook-Genesis',\n",
       " 'JungleBook-Nes',\n",
       " 'JungleBook-Snes',\n",
       " 'JusticeLeagueTaskForce-Genesis',\n",
       " 'KaGeKiFistsOfSteel-Genesis',\n",
       " 'Kaboom-Atari2600',\n",
       " 'KabukiQuantumFighter-Nes',\n",
       " 'KaiketsuYanchaMaru2KarakuriLand-Nes',\n",
       " 'KaiketsuYanchaMaru3TaiketsuZouringen-Nes',\n",
       " 'KaiteTsukutteAsoberuDezaemon-Snes',\n",
       " 'KamenNoNinjaAkakage-Nes',\n",
       " 'Kangaroo-Atari2600',\n",
       " 'KanshakudamaNageKantarouNoToukaidouGojuusanTsugi-Nes',\n",
       " 'KeroppiToKeroriinuNoSplashBomb-Nes',\n",
       " 'KidChameleon-Genesis',\n",
       " 'KidIcarus-Nes',\n",
       " 'KidKlownInCrazyChase-Snes',\n",
       " 'KidKlownInNightMayorWorld-Nes',\n",
       " 'KidNikiRadicalNinja-Nes',\n",
       " 'KingOfDragons-Snes',\n",
       " 'KingOfTheMonsters2-Genesis',\n",
       " 'KingOfTheMonsters2-Snes',\n",
       " 'KirbysAdventure-Nes',\n",
       " 'KnightsOfTheRound-Snes',\n",
       " 'Krull-Atari2600',\n",
       " 'KungFu-Nes',\n",
       " 'KungFuHeroes-Nes',\n",
       " 'KungFuKid-Sms',\n",
       " 'KungFuMaster-Atari2600',\n",
       " 'LandOfIllusionStarringMickeyMouse-Sms',\n",
       " 'LastActionHero-Genesis',\n",
       " 'LastActionHero-Nes',\n",
       " 'LastActionHero-Snes',\n",
       " 'LastBattle-Genesis',\n",
       " 'LastStarfighter-Nes',\n",
       " 'LawnmowerMan-Genesis',\n",
       " 'Legend-Snes',\n",
       " 'LegendOfGalahad-Genesis',\n",
       " 'LegendOfKage-Nes',\n",
       " 'LegendOfPrinceValiant-Nes',\n",
       " 'LegendaryWings-Nes',\n",
       " 'LethalEnforcers-Genesis',\n",
       " 'LethalEnforcersIIGunFighters-Genesis',\n",
       " 'LethalWeapon-Snes',\n",
       " 'LifeForce-Nes',\n",
       " 'LineOfFire-Sms',\n",
       " 'LittleMermaid-Nes',\n",
       " 'LowGManTheLowGravityMan-Nes',\n",
       " 'LuckyDimeCaperStarringDonaldDuck-Sms',\n",
       " 'MCKids-Nes',\n",
       " 'MUSHA-Genesis',\n",
       " 'MagicBoy-Snes',\n",
       " 'MagicSword-Snes',\n",
       " 'MagicalQuestStarringMickeyMouse-Snes',\n",
       " 'MagicalTaruruutoKun-Genesis',\n",
       " 'Magmax-Nes',\n",
       " 'MaouRenjishi-Genesis',\n",
       " 'MappyLand-Nes',\n",
       " 'MarbleMadness-Genesis',\n",
       " 'MarbleMadness-Sms',\n",
       " 'MarioBros-Nes',\n",
       " 'Marko-Genesis',\n",
       " 'Marsupilami-Genesis',\n",
       " 'MarvelLand-Genesis',\n",
       " 'Mask-Snes',\n",
       " 'MasterOfDarkness-Sms',\n",
       " 'McDonaldsTreasureLandAdventure-Genesis',\n",
       " 'MechanizedAttack-Nes',\n",
       " 'MegaMan-Nes',\n",
       " 'MegaMan2-Nes',\n",
       " 'MegaManTheWilyWars-Genesis',\n",
       " 'MegaSWIV-Genesis',\n",
       " 'MegaTurrican-Genesis',\n",
       " 'MendelPalace-Nes',\n",
       " 'MetalStorm-Nes',\n",
       " 'MichaelJacksonsMoonwalker-Genesis',\n",
       " 'MichaelJacksonsMoonwalker-Sms',\n",
       " 'MickeyMousecapade-Nes',\n",
       " 'MidnightResistance-Genesis',\n",
       " 'MightyBombJack-Nes',\n",
       " 'MightyFinalFight-Nes',\n",
       " 'MightyMorphinPowerRangers-Genesis',\n",
       " 'MightyMorphinPowerRangersTheMovie-Genesis',\n",
       " 'MightyMorphinPowerRangersTheMovie-Snes',\n",
       " 'Millipede-Nes',\n",
       " 'MitsumeGaTooru-Nes',\n",
       " 'MoeroTwinBeeCinnamonHakaseOSukue-Nes',\n",
       " 'MonsterInMyPocket-Nes',\n",
       " 'MonsterLair-Genesis',\n",
       " 'MonsterParty-Nes',\n",
       " 'MontezumaRevenge-Atari2600',\n",
       " 'MortalKombat-Genesis',\n",
       " 'MortalKombat3-Genesis',\n",
       " 'MortalKombatII-Genesis',\n",
       " 'MrNutz-Genesis',\n",
       " 'MrNutz-Snes',\n",
       " 'MsPacMan-Genesis',\n",
       " 'MsPacMan-Nes',\n",
       " 'MsPacMan-Sms',\n",
       " 'MsPacman-Atari2600',\n",
       " 'MutantVirusCrisisInAComputerWorld-Nes',\n",
       " 'MyHero-Sms',\n",
       " 'MysteryQuest-Nes',\n",
       " 'NARC-Nes',\n",
       " 'NameThisGame-Atari2600',\n",
       " 'NewZealandStory-Genesis',\n",
       " 'NewZealandStory-Sms',\n",
       " 'Ninja-Sms',\n",
       " 'NinjaCrusaders-Nes',\n",
       " 'NinjaGaiden-Nes',\n",
       " 'NinjaGaiden-Sms',\n",
       " 'NinjaGaidenIIITheAncientShipOfDoom-Nes',\n",
       " 'NinjaGaidenIITheDarkSwordOfChaos-Nes',\n",
       " 'NinjaKid-Nes',\n",
       " 'NoahsArk-Nes',\n",
       " 'NormysBeachBabeORama-Genesis',\n",
       " 'OperationWolf-Nes',\n",
       " 'Ottifants-Genesis',\n",
       " 'Ottifants-Sms',\n",
       " 'OutToLunch-Snes',\n",
       " 'OverHorizon-Nes',\n",
       " 'POWPrisonersOfWar-Nes',\n",
       " 'PacInTime-Snes',\n",
       " 'PacManNamco-Nes',\n",
       " 'PacMania-Genesis',\n",
       " 'PacMania-Sms',\n",
       " 'PanicRestaurant-Nes',\n",
       " 'Paperboy-Genesis',\n",
       " 'Paperboy-Nes',\n",
       " 'Paperboy-Sms',\n",
       " 'Paperboy2-Genesis',\n",
       " 'Parodius-Nes',\n",
       " 'Parodius-Snes',\n",
       " 'PeaceKeepers-Snes',\n",
       " 'PenguinKunWars-Nes',\n",
       " 'Phalanx-Snes',\n",
       " 'Phelios-Genesis',\n",
       " 'Phoenix-Atari2600',\n",
       " 'PinkGoesToHollywood-Genesis',\n",
       " 'PiratesOfDarkWater-Snes',\n",
       " 'PitFighter-Genesis',\n",
       " 'PitFighter-Sms',\n",
       " 'Pitfall-Atari2600',\n",
       " 'PitfallTheMayanAdventure-Genesis',\n",
       " 'PitfallTheMayanAdventure-Snes',\n",
       " 'PizzaPop-Nes',\n",
       " 'Plok-Snes',\n",
       " 'Pong-Atari2600',\n",
       " 'Pooyan-Atari2600',\n",
       " 'Pooyan-Nes',\n",
       " 'Popeye-Nes',\n",
       " 'PopnTwinBee-Snes',\n",
       " 'PopnTwinBeeRainbowBellAdventures-Snes',\n",
       " 'PorkyPigsHauntedHoliday-Snes',\n",
       " 'PoseidonWars3D-Sms',\n",
       " 'PowerAthlete-Genesis',\n",
       " 'PowerPiggsOfTheDarkAge-Snes',\n",
       " 'PowerStrike-Sms',\n",
       " 'PowerStrikeII-Sms',\n",
       " 'Predator2-Genesis',\n",
       " 'Predator2-Sms',\n",
       " 'PrehistorikMan-Snes',\n",
       " 'PrivateEye-Atari2600',\n",
       " 'PsychicWorld-Sms',\n",
       " 'Pulseman-Genesis',\n",
       " 'Punisher-Genesis',\n",
       " 'Punisher-Nes',\n",
       " 'PussNBootsPerosGreatAdventure-Nes',\n",
       " 'PuttySquad-Snes',\n",
       " 'QBert-Nes',\n",
       " 'Qbert-Atari2600',\n",
       " 'QuackShot-Genesis',\n",
       " 'Quartet-Sms',\n",
       " 'Quarth-Nes',\n",
       " 'RType-Sms',\n",
       " 'RTypeIII-Snes',\n",
       " 'RadicalRex-Genesis',\n",
       " 'RadicalRex-Snes',\n",
       " 'RaidenDensetsu-Snes',\n",
       " 'RaidenDensetsuRaidenTrad-Genesis',\n",
       " 'RainbowIslands-Nes',\n",
       " 'RainbowIslandsStoryOfTheBubbleBobble2-Sms',\n",
       " 'RamboFirstBloodPartII-Sms',\n",
       " 'RamboIII-Genesis',\n",
       " 'Rampage-Nes',\n",
       " 'RangerX-Genesis',\n",
       " 'RastanSagaII-Genesis',\n",
       " 'Realm-Snes',\n",
       " 'RenAndStimpyShowPresentsStimpysInvention-Genesis',\n",
       " 'RenAndStimpyShowVeediots-Snes',\n",
       " 'RenderingRangerR2-Snes',\n",
       " 'Renegade-Nes',\n",
       " 'Renegade-Sms',\n",
       " 'RevengeOfShinobi-Genesis',\n",
       " 'RiseOfTheRobots-Genesis',\n",
       " 'RiskyWoods-Genesis',\n",
       " 'Ristar-Genesis',\n",
       " 'RivalTurf-Snes',\n",
       " 'Riverraid-Atari2600',\n",
       " 'RoadRunner-Atari2600',\n",
       " 'RoadRunnersDeathValleyRally-Snes',\n",
       " 'RoboCop2-Nes',\n",
       " 'RoboCop3-Genesis',\n",
       " 'RoboCop3-Nes',\n",
       " 'RoboCop3-Sms',\n",
       " 'RoboCop3-Snes',\n",
       " 'RoboCopVersusTheTerminator-Sms',\n",
       " 'RoboCopVersusTheTerminator-Snes',\n",
       " 'RoboWarrior-Nes',\n",
       " 'RoboccoWars-Nes',\n",
       " 'Robotank-Atari2600',\n",
       " 'RocketKnightAdventures-Genesis',\n",
       " 'RockinKats-Nes',\n",
       " 'Rollerball-Nes',\n",
       " 'Rollergames-Nes',\n",
       " 'RollingThunder2-Genesis',\n",
       " 'RunSaber-Snes',\n",
       " 'RunningBattle-Sms',\n",
       " 'RushnAttack-Nes',\n",
       " 'SCATSpecialCyberneticAttackTeam-Nes',\n",
       " 'SDHeroSoukessenTaoseAkuNoGundan-Nes',\n",
       " 'Sagaia-Genesis',\n",
       " 'Sagaia-Sms',\n",
       " 'SaintSword-Genesis',\n",
       " 'SameSameSame-Genesis',\n",
       " 'SamuraiShodown-Genesis',\n",
       " 'Sansuu5And6NenKeisanGame-Nes',\n",
       " 'Satellite7-Sms',\n",
       " 'Seaquest-Atari2600',\n",
       " 'SecondSamurai-Genesis',\n",
       " 'SectionZ-Nes',\n",
       " 'Seicross-Nes',\n",
       " 'SeikimaIIAkumaNoGyakushuu-Nes',\n",
       " 'SenjouNoOokamiIIMercs-Genesis',\n",
       " 'ShadowDancerTheSecretOfShinobi-Genesis',\n",
       " 'ShadowOfTheBeast-Genesis',\n",
       " 'ShaqFu-Genesis',\n",
       " 'Shatterhand-Nes',\n",
       " 'Shinobi-Sms',\n",
       " 'ShinobiIIIReturnOfTheNinjaMaster-Genesis',\n",
       " 'SilverSurfer-Nes',\n",
       " 'SimpsonsBartVsTheSpaceMutants-Genesis',\n",
       " 'SimpsonsBartVsTheSpaceMutants-Nes',\n",
       " 'SimpsonsBartVsTheWorld-Nes',\n",
       " 'SimpsonsBartmanMeetsRadioactiveMan-Nes',\n",
       " 'SkeletonKrew-Genesis',\n",
       " 'Skiing-Atari2600',\n",
       " 'SkuljaggerRevoltOfTheWesticans-Snes',\n",
       " 'SkyDestroyer-Nes',\n",
       " 'SkyKid-Nes',\n",
       " 'SkyShark-Nes',\n",
       " 'SmartBall-Snes',\n",
       " 'SmashTV-Nes',\n",
       " 'Smurfs-Genesis',\n",
       " 'Smurfs-Nes',\n",
       " 'Smurfs-Snes',\n",
       " 'SnakeRattleNRoll-Nes',\n",
       " 'SnowBrothers-Nes',\n",
       " 'Socket-Genesis',\n",
       " 'SolDeace-Genesis',\n",
       " 'Solaris-Atari2600',\n",
       " 'SoldiersOfFortune-Genesis',\n",
       " 'SonSon-Nes',\n",
       " 'SonicAndKnuckles-Genesis',\n",
       " 'SonicAndKnuckles3-Genesis',\n",
       " 'SonicBlast-Sms',\n",
       " 'SonicBlastMan-Snes',\n",
       " 'SonicBlastManII-Snes',\n",
       " 'SonicTheHedgehog-Genesis',\n",
       " 'SonicTheHedgehog-Sms',\n",
       " 'SonicTheHedgehog2-Genesis',\n",
       " 'SonicTheHedgehog2-Sms',\n",
       " 'SonicTheHedgehog3-Genesis',\n",
       " 'SonicTheHedgehogRandomLevels-Genesis',\n",
       " 'SonicWings-Snes',\n",
       " 'SpaceHarrier-Nes',\n",
       " 'SpaceHarrier-Sms',\n",
       " 'SpaceHarrier3D-Sms',\n",
       " 'SpaceHarrierII-Genesis',\n",
       " 'SpaceInvaders-Atari2600',\n",
       " 'SpaceInvaders-Nes',\n",
       " 'SpaceInvaders-Snes',\n",
       " 'SpaceInvaders91-Genesis',\n",
       " 'SpaceMegaforce-Snes',\n",
       " 'SpankysQuest-Snes',\n",
       " 'Sparkster-Genesis',\n",
       " 'Sparkster-Snes',\n",
       " 'SpartanX2-Nes',\n",
       " 'SpeedyGonzalesLosGatosBandidos-Snes',\n",
       " 'Spelunker-Nes',\n",
       " 'SpiderManReturnOfTheSinisterSix-Sms',\n",
       " 'Splatterhouse2-Genesis',\n",
       " 'SpotGoesToHollywood-Genesis',\n",
       " 'SprigganPowered-Snes',\n",
       " 'SpyHunter-Nes',\n",
       " 'Sqoon-Nes',\n",
       " 'StarForce-Nes',\n",
       " 'StarGunner-Atari2600',\n",
       " 'StarSoldier-Nes',\n",
       " 'StarWars-Nes',\n",
       " 'StarshipHector-Nes',\n",
       " 'SteelEmpire-Genesis',\n",
       " 'SteelTalons-Genesis',\n",
       " 'Stinger-Nes',\n",
       " 'StoneProtectors-Snes',\n",
       " 'Stormlord-Genesis',\n",
       " 'StreetFighterIISpecialChampionEdition-Genesis',\n",
       " 'StreetSmart-Genesis',\n",
       " 'StreetsOfRage-Genesis',\n",
       " 'StreetsOfRage2-Genesis',\n",
       " 'StreetsOfRage3-Genesis',\n",
       " 'StreetsOfRageII-Sms',\n",
       " 'Strider-Genesis',\n",
       " 'SubTerrania-Genesis',\n",
       " 'SubmarineAttack-Sms',\n",
       " 'SunsetRiders-Genesis',\n",
       " 'SuperAdventureIsland-Snes',\n",
       " 'SuperAlfredChicken-Snes',\n",
       " 'SuperArabian-Nes',\n",
       " 'SuperBCKid-Snes',\n",
       " 'SuperC-Nes',\n",
       " 'SuperCastlevaniaIV-Snes',\n",
       " 'SuperDoubleDragon-Snes',\n",
       " 'SuperFantasyZone-Genesis',\n",
       " 'SuperGhoulsnGhosts-Snes',\n",
       " 'SuperJamesPond-Snes',\n",
       " 'SuperMarioBros-Nes',\n",
       " 'SuperMarioBros3-Nes',\n",
       " 'SuperMarioWorld-Snes',\n",
       " 'SuperMarioWorld2-Snes',\n",
       " 'SuperPitfall-Nes',\n",
       " 'SuperRType-Snes',\n",
       " 'SuperSWIV-Snes',\n",
       " 'SuperSmashTV-Genesis',\n",
       " 'SuperSmashTV-Snes',\n",
       " 'SuperSpaceInvaders-Sms',\n",
       " 'SuperStarForce-Nes',\n",
       " 'SuperStarWars-Snes',\n",
       " 'SuperStarWarsReturnOfTheJedi-Snes',\n",
       " 'SuperStarWarsTheEmpireStrikesBack-Snes',\n",
       " 'SuperStrikeGunner-Snes',\n",
       " 'SuperThunderBlade-Genesis',\n",
       " 'SuperTrollIslands-Snes',\n",
       " 'SuperTurrican-Snes',\n",
       " 'SuperTurrican2-Snes',\n",
       " 'SuperValisIV-Snes',\n",
       " 'SuperWidget-Snes',\n",
       " 'SuperWonderBoy-Sms',\n",
       " 'SuperXeviousGumpNoNazo-Nes',\n",
       " 'Superman-Genesis',\n",
       " 'SupermanTheManOfSteel-Sms',\n",
       " 'SwampThing-Nes',\n",
       " 'SwordOfSodan-Genesis',\n",
       " 'SydOfValis-Genesis',\n",
       " 'SylvesterAndTweetyInCageyCapers-Genesis',\n",
       " 'T2TheArcadeGame-Genesis',\n",
       " 'T2TheArcadeGame-Sms',\n",
       " 'TaiyouNoYuushaFighbird-Nes',\n",
       " 'TakahashiMeijinNoBugutteHoney-Nes',\n",
       " 'TargetEarth-Genesis',\n",
       " 'TargetRenegade-Nes',\n",
       " 'TaskForceHarrierEX-Genesis',\n",
       " 'TazMania-Genesis',\n",
       " 'TazMania-Sms',\n",
       " 'TazMania-Snes',\n",
       " 'TeenageMutantNinjaTurtles-Nes',\n",
       " 'TeenageMutantNinjaTurtlesIIITheManhattanProject-Nes',\n",
       " 'TeenageMutantNinjaTurtlesIITheArcadeGame-Nes',\n",
       " 'TeenageMutantNinjaTurtlesIVTurtlesInTime-Snes',\n",
       " 'TeenageMutantNinjaTurtlesTheHyperstoneHeist-Genesis',\n",
       " 'TeenageMutantNinjaTurtlesTournamentFighters-Genesis',\n",
       " 'TeenageMutantNinjaTurtlesTournamentFighters-Nes',\n",
       " 'Tennis-Atari2600',\n",
       " 'Terminator-Genesis',\n",
       " 'Terminator-Sms',\n",
       " 'Terminator2JudgmentDay-Nes',\n",
       " 'TerraCresta-Nes',\n",
       " 'TetrastarTheFighter-Nes',\n",
       " 'TetrisAttack-Snes',\n",
       " 'TetsuwanAtom-Nes',\n",
       " 'Thexder-Nes',\n",
       " 'ThunderAndLightning-Nes',\n",
       " 'ThunderBlade-Sms',\n",
       " 'ThunderForceII-Genesis',\n",
       " 'ThunderForceIII-Genesis',\n",
       " 'ThunderForceIV-Genesis',\n",
       " 'ThunderFox-Genesis',\n",
       " 'ThunderSpirits-Snes',\n",
       " 'Thundercade-Nes',\n",
       " 'Tick-Genesis',\n",
       " 'Tick-Snes',\n",
       " 'TigerHeli-Nes',\n",
       " 'TimePilot-Atari2600',\n",
       " 'TimeZone-Nes',\n",
       " 'TinHead-Genesis',\n",
       " 'TinyToonAdventures-Nes',\n",
       " 'TinyToonAdventuresBusterBustsLoose-Snes',\n",
       " 'TinyToonAdventuresBustersHiddenTreasure-Genesis',\n",
       " 'Toki-Nes',\n",
       " 'TomAndJerry-Snes',\n",
       " 'TotalRecall-Nes',\n",
       " 'TotallyRad-Nes',\n",
       " 'ToxicCrusaders-Genesis',\n",
       " 'ToxicCrusaders-Nes',\n",
       " 'TrampolineTerror-Genesis',\n",
       " 'TransBot-Sms',\n",
       " 'TreasureMaster-Nes',\n",
       " 'Trog-Nes',\n",
       " 'Trojan-Nes',\n",
       " 'TrollsInCrazyland-Nes',\n",
       " 'TroubleShooter-Genesis',\n",
       " 'Truxton-Genesis',\n",
       " 'Turrican-Genesis',\n",
       " 'Tutankham-Atari2600',\n",
       " 'TwinBee-Nes',\n",
       " 'TwinBee3PokoPokoDaimaou-Nes',\n",
       " 'TwinCobra-Nes',\n",
       " 'TwinCobraDesertAttackHelicopter-Genesis',\n",
       " 'TwinEagle-Nes',\n",
       " 'TwinkleTale-Genesis',\n",
       " 'TwoCrudeDudes-Genesis',\n",
       " 'UNSquadron-Snes',\n",
       " 'UchuuNoKishiTekkamanBlade-Snes',\n",
       " 'UndeadLine-Genesis',\n",
       " 'UniversalSoldier-Genesis',\n",
       " 'Untouchables-Nes',\n",
       " 'UpNDown-Atari2600',\n",
       " 'UrbanChampion-Nes',\n",
       " 'UruseiYatsuraLumNoWeddingBell-Nes',\n",
       " 'UzuKeobukseon-Genesis',\n",
       " 'VRTroopers-Genesis',\n",
       " 'VaporTrail-Genesis',\n",
       " 'Vectorman-Genesis',\n",
       " 'Vectorman2-Genesis',\n",
       " 'Venture-Atari2600',\n",
       " 'ViceProjectDoom-Nes',\n",
       " 'VideoPinball-Atari2600',\n",
       " 'Viewpoint-Genesis',\n",
       " 'Vigilante-Sms',\n",
       " 'VolguardII-Nes',\n",
       " 'WaniWaniWorld-Genesis',\n",
       " 'Wardner-Genesis',\n",
       " 'Warpman-Nes',\n",
       " 'WaynesWorld-Nes',\n",
       " 'WereBackADinosaursStory-Snes',\n",
       " 'WhipRush-Genesis',\n",
       " 'Widget-Nes',\n",
       " 'WizardOfWor-Atari2600',\n",
       " 'WizardsAndWarriors-Nes',\n",
       " 'WiznLiz-Genesis',\n",
       " 'Wolfchild-Genesis',\n",
       " 'Wolfchild-Sms',\n",
       " 'Wolfchild-Snes',\n",
       " 'WolverineAdamantiumRage-Genesis',\n",
       " 'WonderBoyInMonsterWorld-Sms',\n",
       " 'WorldHeroes-Genesis',\n",
       " 'WrathOfTheBlackManta-Nes',\n",
       " 'WreckingCrew-Nes',\n",
       " 'XDRXDazedlyRay-Genesis',\n",
       " 'XKaliber2097-Snes',\n",
       " 'XMenMojoWorld-Sms',\n",
       " 'Xenon2Megablast-Genesis',\n",
       " 'Xenophobe-Nes',\n",
       " 'XeviousTheAvenger-Nes',\n",
       " 'Xexyz-Nes',\n",
       " 'YarsRevenge-Atari2600',\n",
       " 'YoukaiClub-Nes',\n",
       " 'YoukaiDouchuuki-Nes',\n",
       " 'YoungIndianaJonesChronicles-Nes',\n",
       " 'Zanac-Nes',\n",
       " 'Zaxxon-Atari2600',\n",
       " 'ZeroTheKamikazeSquirrel-Genesis',\n",
       " 'ZeroTheKamikazeSquirrel-Snes',\n",
       " 'ZeroWing-Genesis',\n",
       " 'ZombiesAteMyNeighbors-Snes',\n",
       " 'ZoolNinjaOfTheNthDimension-Genesis',\n",
       " 'ZoolNinjaOfTheNthDimension-Sms',\n",
       " 'ZoolNinjaOfTheNthDimension-Snes']"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# See the different retro games\n",
    "retro.data.list_games()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# python -m retro.import . # Run this from the roms folder, or where you have your game roms "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Starts up the game environment\n",
    "env = retro.make(game='StreetFighterIISpecialChampionEdition-Genesis')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Closes the game environment - important given we can only run one at a time \n",
    "env.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Box([[[0 0 0]\n",
       "  [0 0 0]\n",
       "  [0 0 0]\n",
       "  ...\n",
       "  [0 0 0]\n",
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       "\n",
       " [[0 0 0]\n",
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       "  ...\n",
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       "\n",
       " [[0 0 0]\n",
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       "  [0 0 0]]\n",
       "\n",
       " ...\n",
       "\n",
       " [[0 0 0]\n",
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       "  ...\n",
       "  [0 0 0]\n",
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       "\n",
       " [[0 0 0]\n",
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       "  ...\n",
       "  [0 0 0]\n",
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       "\n",
       " [[0 0 0]\n",
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       "  ...\n",
       "  [0 0 0]\n",
       "  [0 0 0]\n",
       "  [0 0 0]]], [[[255 255 255]\n",
       "  [255 255 255]\n",
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       "  ...\n",
       "  [255 255 255]\n",
       "  [255 255 255]\n",
       "  [255 255 255]]\n",
       "\n",
       " [[255 255 255]\n",
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       "  ...\n",
       "  [255 255 255]\n",
       "  [255 255 255]\n",
       "  [255 255 255]]\n",
       "\n",
       " [[255 255 255]\n",
       "  [255 255 255]\n",
       "  [255 255 255]\n",
       "  ...\n",
       "  [255 255 255]\n",
       "  [255 255 255]\n",
       "  [255 255 255]]\n",
       "\n",
       " ...\n",
       "\n",
       " [[255 255 255]\n",
       "  [255 255 255]\n",
       "  [255 255 255]\n",
       "  ...\n",
       "  [255 255 255]\n",
       "  [255 255 255]\n",
       "  [255 255 255]]\n",
       "\n",
       " [[255 255 255]\n",
       "  [255 255 255]\n",
       "  [255 255 255]\n",
       "  ...\n",
       "  [255 255 255]\n",
       "  [255 255 255]\n",
       "  [255 255 255]]\n",
       "\n",
       " [[255 255 255]\n",
       "  [255 255 255]\n",
       "  [255 255 255]\n",
       "  ...\n",
       "  [255 255 255]\n",
       "  [255 255 255]\n",
       "  [255 255 255]]], (200, 256, 3), uint8)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Sample the observation space\n",
    "env.observation_space"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1], dtype=int8)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Sample the actions that are avaialble - MultiBinary\n",
    "env.action_space.sample()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Reset game to starting state\n",
    "obs = env.reset()\n",
    "# Set flag to flase\n",
    "done = False\n",
    "for game in range(1): \n",
    "    while not done: \n",
    "        if done: \n",
    "            obs = env.reset()\n",
    "        env.render()\n",
    "        obs, reward, done, info = env.step(env.action_space.sample())\n",
    "        time.sleep(0.01)\n",
    "        print(reward)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "env.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'info' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-40-886ead46232a>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0minfo\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m: name 'info' is not defined"
     ]
    }
   ],
   "source": [
    "info"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Setup Environment\n",
    "## What we are going to do! FUNNN\n",
    "- Observation Preprocess - grayscale (DONE), frame delta, resize the frame so we have less pixels  (DONE) \n",
    "- Filter the action - parameter DONE\n",
    "- Reward function - set this to the score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "!pip install opencv-python"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import environment base class for a wrapper \n",
    "from gym import Env \n",
    "# Import the space shapes for the environment\n",
    "from gym.spaces import MultiBinary, Box\n",
    "# Import numpy to calculate frame delta \n",
    "import numpy as np\n",
    "# Import opencv for grayscaling\n",
    "import cv2\n",
    "# Import matplotlib for plotting the image\n",
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create custom environment \n",
    "class StreetFighter(Env): \n",
    "    def __init__(self):\n",
    "        super().__init__()\n",
    "        # Specify action space and observation space \n",
    "        self.observation_space = Box(low=0, high=255, shape=(84, 84, 1), dtype=np.uint8)\n",
    "        self.action_space = MultiBinary(12)\n",
    "        # Startup and instance of the game \n",
    "        self.game = retro.make(game='StreetFighterIISpecialChampionEdition-Genesis', use_restricted_actions=retro.Actions.FILTERED)\n",
    "    \n",
    "    def reset(self):\n",
    "        # Return the first frame \n",
    "        obs = self.game.reset()\n",
    "        obs = self.preprocess(obs) \n",
    "        self.previous_frame = obs \n",
    "        \n",
    "        # Create a attribute to hold the score delta \n",
    "        self.score = 0 \n",
    "        return obs\n",
    "    \n",
    "    def preprocess(self, observation): \n",
    "        # Grayscaling \n",
    "        gray = cv2.cvtColor(observation, cv2.COLOR_BGR2GRAY)\n",
    "        # Resize \n",
    "        resize = cv2.resize(gray, (84,84), interpolation=cv2.INTER_CUBIC)\n",
    "        # Add the channels value\n",
    "        channels = np.reshape(resize, (84,84,1))\n",
    "        return channels \n",
    "    \n",
    "    def step(self, action): \n",
    "        # Take a step \n",
    "        obs, reward, done, info = self.game.step(action)\n",
    "        obs = self.preprocess(obs) \n",
    "        \n",
    "        # Frame delta \n",
    "        frame_delta = obs - self.previous_frame\n",
    "        self.previous_frame = obs \n",
    "        \n",
    "        # Reshape the reward function\n",
    "        reward = info['score'] - self.score \n",
    "        self.score = info['score'] \n",
    "        \n",
    "        return frame_delta, reward, done, info\n",
    "    \n",
    "    def render(self, *args, **kwargs):\n",
    "        self.game.render()\n",
    "        \n",
    "    def close(self):\n",
    "        self.game.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "env = StreetFighter()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(200, 256, 3)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "env.observation_space.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(12,)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "env.action_space.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "500\n",
      "500\n",
      "500\n",
      "100\n",
      "300\n",
      "3000\n",
      "1000\n",
      "100\n",
      "100\n",
      "1000\n",
      "1000\n",
      "1000\n",
      "1000\n",
      "1000\n",
      "1000\n",
      "1000\n",
      "1000\n",
      "1000\n",
      "10000\n",
      "1000\n",
      "500\n"
     ]
    }
   ],
   "source": [
    "# Reset game to starting state\n",
    "obs = env.reset()\n",
    "# Set flag to flase\n",
    "done = False\n",
    "for game in range(1): \n",
    "    while not done: \n",
    "        if done: \n",
    "            obs = env.reset()\n",
    "        env.render()\n",
    "        obs, reward, done, info = env.step(env.action_space.sample())\n",
    "        time.sleep(0.01)\n",
    "        if reward > 0: \n",
    "            print(reward)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "obs = env.reset()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'env' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-1-11e2e31eae52>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mobs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreward\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minfo\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0menv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0menv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maction_space\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msample\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m: name 'env' is not defined"
     ]
    }
   ],
   "source": [
    "obs, reward, done, info = env.step(env.action_space.sample())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'plt' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-4-2dfbfb7559e0>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimshow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcvtColor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcv2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mCOLOR_BGR2RGB\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m: name 'plt' is not defined"
     ]
    }
   ],
   "source": [
    "plt.imshow(cv2.cvtColor(obs, cv2.COLOR_BGR2RGB))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Hyperparameter tune"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Looking in links: https://download.pytorch.org/whl/cu113/torch_stable.html\n",
      "Collecting torch==1.10.2+cu113\n",
      "  Downloading https://download.pytorch.org/whl/cu113/torch-1.10.2%2Bcu113-cp36-cp36m-linux_x86_64.whl (1821.5 MB)\n",
      "     |████████████████████████████████| 1821.5 MB 16 kB/s              \n",
      "\u001b[?25hCollecting torchvision==0.11.3+cu113\n",
      "  Downloading https://download.pytorch.org/whl/cu113/torchvision-0.11.3%2Bcu113-cp36-cp36m-linux_x86_64.whl (24.6 MB)\n",
      "     |████████████████████████████████| 24.6 MB 423 kB/s             \n",
      "\u001b[?25hCollecting torchaudio===0.10.2+cu113\n",
      "  Downloading https://download.pytorch.org/whl/cu113/torchaudio-0.10.2%2Bcu113-cp36-cp36m-linux_x86_64.whl (2.9 MB)\n",
      "     |████████████████████████████████| 2.9 MB 443 kB/s            \n",
      "\u001b[?25hRequirement already satisfied: dataclasses in /home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages (from torch==1.10.2+cu113) (0.8)\n",
      "Requirement already satisfied: typing-extensions in /home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages (from torch==1.10.2+cu113) (4.1.1)\n",
      "Requirement already satisfied: numpy in /home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages (from torchvision==0.11.3+cu113) (1.19.5)\n",
      "Requirement already satisfied: pillow!=8.3.0,>=5.3.0 in /home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages (from torchvision==0.11.3+cu113) (8.4.0)\n",
      "Installing collected packages: torch, torchvision, torchaudio\n",
      "  Attempting uninstall: torch\n",
      "    Found existing installation: torch 1.10.2\n",
      "    Uninstalling torch-1.10.2:\n",
      "      Successfully uninstalled torch-1.10.2\n",
      "Successfully installed torch-1.10.2+cu113 torchaudio-0.10.2+cu113 torchvision-0.11.3+cu113\n"
     ]
    }
   ],
   "source": [
    "!pip install torch==1.10.2+cu113 torchvision==0.11.3+cu113 torchaudio===0.10.2+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: optuna in /home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages (3.0.6)\n",
      "Requirement already satisfied: packaging>=20.0 in /home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages (from optuna) (21.3)\n",
      "Requirement already satisfied: alembic>=1.5.0 in /home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages (from optuna) (1.7.7)\n",
      "Requirement already satisfied: cliff in /home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages (from optuna) (3.10.1)\n",
      "Requirement already satisfied: colorlog in /home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages (from optuna) (6.9.0)\n",
      "Requirement already satisfied: importlib-metadata<5.0.0 in /home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages (from optuna) (4.8.3)\n",
      "Requirement already satisfied: tqdm in /home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages (from optuna) (4.64.1)\n",
      "Requirement already satisfied: PyYAML in /home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages (from optuna) (6.0.1)\n",
      "Requirement already satisfied: scipy!=1.4.0,<1.9.0 in /home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages (from optuna) (1.5.4)\n",
      "Requirement already satisfied: numpy in /home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages (from optuna) (1.19.5)\n",
      "Requirement already satisfied: sqlalchemy>=1.3.0 in /home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages (from optuna) (1.4.54)\n",
      "Requirement already satisfied: cmaes>=0.8.2 in /home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages (from optuna) (0.9.0)\n",
      "Requirement already satisfied: Mako in /home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages (from alembic>=1.5.0->optuna) (1.1.6)\n",
      "Requirement already satisfied: importlib-resources in /home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages (from alembic>=1.5.0->optuna) (5.4.0)\n",
      "Requirement already satisfied: zipp>=0.5 in /home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages (from importlib-metadata<5.0.0->optuna) (3.6.0)\n",
      "Requirement already satisfied: typing-extensions>=3.6.4 in /home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages (from importlib-metadata<5.0.0->optuna) (4.1.1)\n",
      "Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages (from packaging>=20.0->optuna) (3.1.4)\n",
      "Requirement already satisfied: greenlet!=0.4.17 in /home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages (from sqlalchemy>=1.3.0->optuna) (2.0.2)\n",
      "Requirement already satisfied: cmd2>=1.0.0 in /home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages (from cliff->optuna) (2.4.3)\n",
      "Requirement already satisfied: stevedore>=2.0.1 in /home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages (from cliff->optuna) (3.5.2)\n",
      "Requirement already satisfied: PrettyTable>=0.7.2 in /home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages (from cliff->optuna) (2.5.0)\n",
      "Requirement already satisfied: pbr!=2.1.0,>=2.0.0 in /home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages (from cliff->optuna) (6.1.0)\n",
      "Requirement already satisfied: autopage>=0.4.0 in /home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages (from cliff->optuna) (0.5.2)\n",
      "Requirement already satisfied: pyperclip>=1.6 in /home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages (from cmd2>=1.0.0->cliff->optuna) (1.9.0)\n",
      "Requirement already satisfied: attrs>=16.3.0 in /home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages (from cmd2>=1.0.0->cliff->optuna) (22.2.0)\n",
      "Requirement already satisfied: wcwidth>=0.1.7 in /home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages (from cmd2>=1.0.0->cliff->optuna) (0.2.13)\n",
      "Requirement already satisfied: MarkupSafe>=0.9.2 in /home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages (from Mako->alembic>=1.5.0->optuna) (2.0.1)\n"
     ]
    }
   ],
   "source": [
    "#!pip install stable-baselines3[extra] optuna\n",
    "!pip install optuna"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Importing the optimzation frame - HPO\n",
    "import optuna\n",
    "# PPO algo for RL\n",
    "from stable_baselines3 import PPO\n",
    "# Bring in the eval policy method for metric calculation\n",
    "from stable_baselines3.common.evaluation import evaluate_policy\n",
    "# Import the sb3 monitor for logging \n",
    "from stable_baselines3.common.monitor import Monitor\n",
    "# Import the vec wrappers to vectorize and frame stack\n",
    "from stable_baselines3.common.vec_env import DummyVecEnv, VecFrameStack\n",
    "# Import os to deal with filepaths\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "LOG_DIR = './logs/'\n",
    "OPT_DIR = './opt/'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function to return test hyperparameters - define the object function\n",
    "def optimize_ppo(trial): \n",
    "    return {\n",
    "        'n_steps':trial.suggest_int('n_steps', 2048, 8192),\n",
    "        'gamma':trial.suggest_loguniform('gamma', 0.8, 0.9999),\n",
    "        'learning_rate':trial.suggest_loguniform('learning_rate', 1e-5, 1e-4),\n",
    "        'clip_range':trial.suggest_uniform('clip_range', 0.1, 0.4),\n",
    "        'gae_lambda':trial.suggest_uniform('gae_lambda', 0.8, 0.99)\n",
    "    }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "SAVE_PATH = os.path.join(OPT_DIR, 'trial_{}_best_model'.format(1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Run a training loop and return mean reward \n",
    "def optimize_agent(trial):\n",
    "    try:\n",
    "        model_params = optimize_ppo(trial) \n",
    "\n",
    "        # Create environment \n",
    "        env = StreetFighter()\n",
    "        env = Monitor(env, LOG_DIR)\n",
    "        env = DummyVecEnv([lambda: env])\n",
    "        env = VecFrameStack(env, 4, channels_order='last')\n",
    "\n",
    "        # Create algo \n",
    "        model = PPO('CnnPolicy', env, tensorboard_log=LOG_DIR, verbose=0, **model_params)\n",
    "        model.learn(total_timesteps=30000)\n",
    "        #model.learn(total_timesteps=100000)\n",
    "\n",
    "        # Evaluate model \n",
    "        mean_reward, _ = evaluate_policy(model, env, n_eval_episodes=5)\n",
    "        env.close()\n",
    "\n",
    "        SAVE_PATH = os.path.join(OPT_DIR, 'trial_{}_best_model'.format(trial.number))\n",
    "        model.save(SAVE_PATH)\n",
    "\n",
    "        return mean_reward\n",
    "\n",
    "    except Exception as e:\n",
    "        return -1000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[32m[I 2024-10-31 02:03:26,885]\u001b[0m A new study created in memory with name: no-name-f8281cb8-a6a1-4e41-bf21-28438b7ff9fd\u001b[0m\n",
      "/home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages/ipykernel_launcher.py:5: FutureWarning: suggest_loguniform has been deprecated in v3.0.0. This feature will be removed in v6.0.0. See https://github.com/optuna/optuna/releases/tag/v3.0.0. Use :func:`~optuna.trial.Trial.suggest_float` instead.\n",
      "  \"\"\"\n",
      "/home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages/ipykernel_launcher.py:6: FutureWarning: suggest_loguniform has been deprecated in v3.0.0. This feature will be removed in v6.0.0. See https://github.com/optuna/optuna/releases/tag/v3.0.0. Use :func:`~optuna.trial.Trial.suggest_float` instead.\n",
      "  \n",
      "/home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages/ipykernel_launcher.py:7: FutureWarning: suggest_uniform has been deprecated in v3.0.0. This feature will be removed in v6.0.0. See https://github.com/optuna/optuna/releases/tag/v3.0.0. Use :func:`~optuna.trial.Trial.suggest_float` instead.\n",
      "  import sys\n",
      "/home/marcelo/.pyenv/versions/3.6.15/lib/python3.6/site-packages/ipykernel_launcher.py:8: FutureWarning: suggest_uniform has been deprecated in v3.0.0. This feature will be removed in v6.0.0. See https://github.com/optuna/optuna/releases/tag/v3.0.0. Use :func:`~optuna.trial.Trial.suggest_float` instead.\n",
      "  \n",
      "\u001b[32m[I 2024-10-31 02:03:26,891]\u001b[0m Trial 0 finished with value: -1000.0 and parameters: {'n_steps': 5006, 'gamma': 0.8303374403300845, 'learning_rate': 2.0084773782335447e-05, 'clip_range': 0.11631933243590174, 'gae_lambda': 0.978426479825289}. Best is trial 0 with value: -1000.0.\u001b[0m\n",
      "\u001b[32m[I 2024-10-31 02:03:26,892]\u001b[0m Trial 1 finished with value: -1000.0 and parameters: {'n_steps': 4996, 'gamma': 0.8616448260877824, 'learning_rate': 6.617477607864263e-05, 'clip_range': 0.36715664252811153, 'gae_lambda': 0.9075986201338262}. Best is trial 0 with value: -1000.0.\u001b[0m\n",
      "\u001b[32m[I 2024-10-31 02:03:26,894]\u001b[0m Trial 2 finished with value: -1000.0 and parameters: {'n_steps': 6981, 'gamma': 0.839471357847984, 'learning_rate': 2.673541746583447e-05, 'clip_range': 0.22763219222125497, 'gae_lambda': 0.8790678533767283}. Best is trial 0 with value: -1000.0.\u001b[0m\n",
      "\u001b[32m[I 2024-10-31 02:03:26,896]\u001b[0m Trial 3 finished with value: -1000.0 and parameters: {'n_steps': 2171, 'gamma': 0.9487369157807962, 'learning_rate': 3.824160527341227e-05, 'clip_range': 0.22040611465076537, 'gae_lambda': 0.9645594299497926}. Best is trial 0 with value: -1000.0.\u001b[0m\n",
      "\u001b[32m[I 2024-10-31 02:03:26,899]\u001b[0m Trial 4 finished with value: -1000.0 and parameters: {'n_steps': 2935, 'gamma': 0.8514241812968376, 'learning_rate': 8.160251342800905e-05, 'clip_range': 0.29312904364746994, 'gae_lambda': 0.8890230835272225}. Best is trial 0 with value: -1000.0.\u001b[0m\n",
      "\u001b[32m[I 2024-10-31 02:03:26,902]\u001b[0m Trial 5 finished with value: -1000.0 and parameters: {'n_steps': 4618, 'gamma': 0.9345931197362641, 'learning_rate': 5.0313026563886654e-05, 'clip_range': 0.19688130652290026, 'gae_lambda': 0.9203951818879607}. Best is trial 0 with value: -1000.0.\u001b[0m\n",
      "\u001b[32m[I 2024-10-31 02:03:26,903]\u001b[0m Trial 6 finished with value: -1000.0 and parameters: {'n_steps': 4431, 'gamma': 0.8505665306134266, 'learning_rate': 2.6246738944094844e-05, 'clip_range': 0.3684950420105607, 'gae_lambda': 0.9378426192206462}. Best is trial 0 with value: -1000.0.\u001b[0m\n",
      "\u001b[32m[I 2024-10-31 02:03:26,905]\u001b[0m Trial 7 finished with value: -1000.0 and parameters: {'n_steps': 2909, 'gamma': 0.8027022473356902, 'learning_rate': 1.7060792605242113e-05, 'clip_range': 0.1172822820551364, 'gae_lambda': 0.8074541550776405}. Best is trial 0 with value: -1000.0.\u001b[0m\n",
      "\u001b[32m[I 2024-10-31 02:03:26,907]\u001b[0m Trial 8 finished with value: -1000.0 and parameters: {'n_steps': 3131, 'gamma': 0.9957995632392885, 'learning_rate': 5.7195399099025336e-05, 'clip_range': 0.2531605228679147, 'gae_lambda': 0.9662145709855376}. Best is trial 0 with value: -1000.0.\u001b[0m\n",
      "\u001b[32m[I 2024-10-31 02:03:26,908]\u001b[0m Trial 9 finished with value: -1000.0 and parameters: {'n_steps': 4737, 'gamma': 0.9838158126092863, 'learning_rate': 3.120026488571133e-05, 'clip_range': 0.29089470377224663, 'gae_lambda': 0.9717937770040211}. Best is trial 0 with value: -1000.0.\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "# Creating the experiment \n",
    "study = optuna.create_study(direction='maximize')\n",
    "study.optimize(optimize_agent, n_trials=10, n_jobs=1)\n",
    "#study.optimize(optimize_agent, n_trials=100, n_jobs=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'n_steps': 5006,\n",
       " 'gamma': 0.8303374403300845,\n",
       " 'learning_rate': 2.0084773782335447e-05,\n",
       " 'clip_range': 0.11631933243590174,\n",
       " 'gae_lambda': 0.978426479825289}"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "study.best_params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "FrozenTrial(number=0, values=[-1000.0], datetime_start=datetime.datetime(2024, 10, 31, 2, 3, 26, 886760), datetime_complete=datetime.datetime(2024, 10, 31, 2, 3, 26, 889444), params={'n_steps': 5006, 'gamma': 0.8303374403300845, 'learning_rate': 2.0084773782335447e-05, 'clip_range': 0.11631933243590174, 'gae_lambda': 0.978426479825289}, distributions={'n_steps': IntDistribution(high=8192, log=False, low=2048, step=1), 'gamma': FloatDistribution(high=0.9999, log=True, low=0.8, step=None), 'learning_rate': FloatDistribution(high=0.0001, log=True, low=1e-05, step=None), 'clip_range': FloatDistribution(high=0.4, log=False, low=0.1, step=None), 'gae_lambda': FloatDistribution(high=0.99, log=False, low=0.8, step=None)}, user_attrs={}, system_attrs={}, intermediate_values={}, trial_id=0, state=TrialState.COMPLETE, value=None)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "study.best_trial"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = PPO.load(os.path.join(OPT_DIR, 'trial_5_best_model.zip'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Setup Callback"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import base callback \n",
    "from stable_baselines3.common.callbacks import BaseCallback"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "class TrainAndLoggingCallback(BaseCallback):\n",
    "\n",
    "    def __init__(self, check_freq, save_path, verbose=1):\n",
    "        super(TrainAndLoggingCallback, self).__init__(verbose)\n",
    "        self.check_freq = check_freq\n",
    "        self.save_path = save_path\n",
    "\n",
    "    def _init_callback(self):\n",
    "        if self.save_path is not None:\n",
    "            os.makedirs(self.save_path, exist_ok=True)\n",
    "\n",
    "    def _on_step(self):\n",
    "        if self.n_calls % self.check_freq == 0:\n",
    "            model_path = os.path.join(self.save_path, 'best_model_{}'.format(self.n_calls))\n",
    "            self.model.save(model_path)\n",
    "\n",
    "        return True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "CHECKPOINT_DIR = './train/'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "callback = TrainAndLoggingCallback(check_freq=10000, save_path=CHECKPOINT_DIR)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Train Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create environment \n",
    "env.close()\n",
    "env = StreetFighter()\n",
    "env = Monitor(env, LOG_DIR)\n",
    "env = DummyVecEnv([lambda: env])\n",
    "env = VecFrameStack(env, 4, channels_order='last')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'n_steps': 7488,\n",
       " 'gamma': 0.8303374403300845,\n",
       " 'learning_rate': 2.0084773782335447e-05,\n",
       " 'clip_range': 0.11631933243590174,\n",
       " 'gae_lambda': 0.978426479825289}"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_params = study.best_params\n",
    "model_params['n_steps'] = 7488  # set n_steps to 7488 or a factor of 64\n",
    "# model_params['learning_rate'] = 5e-7\n",
    "model_params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using cuda device\n",
      "Wrapping the env in a VecTransposeImage.\n"
     ]
    }
   ],
   "source": [
    "model = PPO('CnnPolicy', env, tensorboard_log=LOG_DIR, verbose=1, **model_params)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<stable_baselines3.ppo.ppo.PPO at 0x77189aa45190>"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Reload previous weights from HPO\n",
    "model.load(os.path.join(OPT_DIR, 'trial_5_best_model.zip'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Kick off training \n",
    "model.learn(total_timesteps=100000, callback=callback)\n",
    "# model.learn(total_timestep=5000000) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Evaluate the Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = PPO.load('./opt/trial_5_best_model.zip')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "mean_reward, _ = evaluate_policy(model, env, render=True, n_eval_episodes=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "43600.0"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_reward"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Test out the Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "obs = env.reset()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1, 84, 84, 4)"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "obs.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([[[[  0,   0,  36,   0],\n",
       "          [  0,   0,  36,   0],\n",
       "          [  0,   0,  33,   0],\n",
       "          ...,\n",
       "          [  0,   0,  37,   0],\n",
       "          [  0,   0,  34,   0],\n",
       "          [  0,   0,  36,   0]],\n",
       " \n",
       "         [[  0,   0,  36,   0],\n",
       "          [  0,   0,  36,   0],\n",
       "          [  0,   0,  35,   0],\n",
       "          ...,\n",
       "          [  0,   0,  36,   0],\n",
       "          [  0,   0,  40,   0],\n",
       "          [  0,   0,  40,   0]],\n",
       " \n",
       "         [[  0,   0,  36,   0],\n",
       "          [  0,   0,  36,   0],\n",
       "          [  0,   0,  36,   0],\n",
       "          ...,\n",
       "          [  0,   0,  36,   0],\n",
       "          [  0,   0,  36,   0],\n",
       "          [  0,   0,  36,   0]],\n",
       " \n",
       "         ...,\n",
       " \n",
       "         [[  0,   0, 162,   0],\n",
       "          [  0,   0, 159,   0],\n",
       "          [  0,   0, 159,   0],\n",
       "          ...,\n",
       "          [  0,   0, 159,   0],\n",
       "          [  0,   0, 159,   0],\n",
       "          [  0,   0, 159,   0]],\n",
       " \n",
       "         [[  0,   0, 162,   0],\n",
       "          [  0,   0, 162,   0],\n",
       "          [  0,   0, 162,   0],\n",
       "          ...,\n",
       "          [  0,   0, 162,   0],\n",
       "          [  0,   0, 162,   0],\n",
       "          [  0,   0, 162,   0]],\n",
       " \n",
       "         [[  0,   0, 162,   0],\n",
       "          [  0,   0, 162,   0],\n",
       "          [  0,   0, 162,   0],\n",
       "          ...,\n",
       "          [  0,   0, 162,   0],\n",
       "          [  0,   0, 162,   0],\n",
       "          [  0,   0, 162,   0]]]], dtype=uint8),\n",
       " array([0.], dtype=float32),\n",
       " array([False]),\n",
       " [{'enemy_matches_won': 0,\n",
       "   'score': 0,\n",
       "   'matches_won': 0,\n",
       "   'continuetimer': 0,\n",
       "   'enemy_health': 176,\n",
       "   'health': 176}])"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "env.step(model.predict(obs)[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "collapsed": true,
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     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-58-15261b8ab521>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      9\u001b[0m         \u001b[0menv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrender\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m         \u001b[0maction\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpredict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 11\u001b[0;31m         \u001b[0mobs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreward\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minfo\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0menv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maction\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     12\u001b[0m         \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0.01\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     13\u001b[0m         \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mreward\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/3.6.15/lib/python3.6/site-packages/stable_baselines3/common/vec_env/base_vec_env.py\u001b[0m in \u001b[0;36mstep\u001b[0;34m(self, actions)\u001b[0m\n\u001b[1;32m    160\u001b[0m         \"\"\"\n\u001b[1;32m    161\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstep_async\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mactions\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 162\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstep_wait\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    163\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    164\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mget_images\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mSequence\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/3.6.15/lib/python3.6/site-packages/stable_baselines3/common/vec_env/vec_frame_stack.py\u001b[0m in \u001b[0;36mstep_wait\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m     48\u001b[0m         \u001b[0mobservations\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrewards\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdones\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minfos\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvenv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstep_wait\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     49\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 50\u001b[0;31m         \u001b[0mobservations\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minfos\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstackedobs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobservations\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdones\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minfos\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     51\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     52\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mobservations\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrewards\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdones\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minfos\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/3.6.15/lib/python3.6/site-packages/stable_baselines3/common/vec_env/stacked_observations.py\u001b[0m in \u001b[0;36mupdate\u001b[0;34m(self, observations, dones, infos)\u001b[0m\n\u001b[1;32m    118\u001b[0m         \"\"\"\n\u001b[1;32m    119\u001b[0m         \u001b[0mstack_ax_size\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mobservations\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstack_dimension\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 120\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstackedobs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mroll\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstackedobs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mshift\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0mstack_ax_size\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstack_dimension\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    121\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdone\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdones\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    122\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mdone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m<__array_function__ internals>\u001b[0m in \u001b[0;36mroll\u001b[0;34m(*args, **kwargs)\u001b[0m\n",
      "\u001b[0;32m~/.pyenv/versions/3.6.15/lib/python3.6/site-packages/numpy/core/numeric.py\u001b[0m in \u001b[0;36mroll\u001b[0;34m(a, shift, axis)\u001b[0m\n\u001b[1;32m   1207\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mindices\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mitertools\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mproduct\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mrolls\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1208\u001b[0m             \u001b[0marr_index\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mres_index\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mindices\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1209\u001b[0;31m             \u001b[0mresult\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mres_index\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0ma\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0marr_index\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1210\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1211\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "# Reset game to starting state\n",
    "obs = env.reset()\n",
    "# Set flag to flase\n",
    "done = False\n",
    "for game in range(1): \n",
    "    while not done: \n",
    "        if done: \n",
    "            obs = env.reset()\n",
    "        env.render()\n",
    "        action = model.predict(obs)[0]\n",
    "        obs, reward, done, info = env.step(action)\n",
    "        time.sleep(0.01)\n",
    "        print(reward)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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