Uses The NEAT Machine Learning algorithm to solve various SNES games in Bizhawk (Snes/Nes emulator)
Easy to use readable program
Program can be used to learn any SNES/NES game. The ROM.lua class just needs to be extended and functions written so program can calculate fitness and read values from whichever game.
Download bizhawk: https://tasvideos.org/Bizhawk
Download ROM for game (E.G SMW)
Run the game, and create a .state file, at the beginning of the level, give it a name and save it to /asserts/savedstates/nameoffile.state
Change the saveFileName inside NEATEvolve.lua to have the filename E.G: saveFileName = SMW.state
Run Lua script: source/NEATEvolve.lua in Bizhawk
Optionally set speed to 400x in Bizhawk for faster learning (Config -> Speed/Skip -> 400x)
Important: Bizhawk must be using 'Snes9x'. Otherwise the memory/tile functions act funky and the AI/program view will be off.
NOTE: If you get an error similar to 'unprotected error in call to Lua API', make sure you've changed the state file to one to a recent one. An issue occurs if bizhawk updates, or the ROM was downloaded from a different place than the one used for the state file.
Log file written to machine_learning_outputs/NEAT_PROGRAM.log
NEAT/Machine Learning properties, such as Population, Mutation Chance ETC can be found inside machinelearning.ai.sstatic.Properties
Game and other Properties can be found at the beginning of the main file.
In InteliJ, simply right click the 'scripts' folder, 'mark directory as', 'sources root'.
Install Lua plugin if not installed. EmmyLua
Tests should be run using lua tests.lua. Currently the tests.lua file contains all tests. when a new test class is added it should be added to this class.
Individual tests can also be run through InteliJ, modifying the path to be /scripts (removing src/ from default inteliJ)
Latest run, completes level with 4727 fitness score by gen 15.
