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from typing import Any, Dict | ||
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import rlviser_py as rlviser | ||
import RocketSim as rsim | ||
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from rlgym.api import Renderer | ||
from rlgym.rocket_league.api import Car, GameState | ||
from rlgym.rocket_league.common_values import BOOST_LOCATIONS | ||
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class RLViserRenderer(Renderer[GameState]): | ||
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def __init__(self, tick_rate=120/8): | ||
rlviser.set_boost_pad_locations(BOOST_LOCATIONS) | ||
self.tick_rate = tick_rate | ||
self.packet_id = 0 | ||
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def render(self, state: GameState, shared_info: Dict[str, Any]) -> Any: | ||
boost_pad_states = [bool(timer == 0) for timer in state.boost_pad_timers] | ||
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ball = rsim.BallState() | ||
ball.pos = rsim.Vec(*state.ball.position) | ||
ball.vel = rsim.Vec(*state.ball.linear_velocity) | ||
ball.ang_vel = rsim.Vec(*state.ball.angular_velocity) | ||
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car_data = [] | ||
for idx, car in enumerate(state.cars.values()): | ||
car_state = self._get_car_state(car) | ||
car_data.append((idx + 1, car.team_num, rsim.CarConfig(car.hitbox_type), car_state)) | ||
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self.packet_id += 1 | ||
rlviser.render(tick_count=self.packet_id, tick_rate=self.tick_rate, game_mode=rsim.GameMode.SOCCAR, | ||
boost_pad_states=boost_pad_states, ball=ball, cars=car_data) | ||
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def close(self): | ||
rlviser.quit() | ||
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# I stole this from RocketSimEngine | ||
def _get_car_state(self, car: Car): | ||
car_state = rsim.CarState() | ||
car_state.pos = rsim.Vec(*car.physics.position) | ||
car_state.vel = rsim.Vec(*car.physics.linear_velocity) | ||
car_state.ang_vel = rsim.Vec(*car.physics.angular_velocity) | ||
car_state.rot_mat = rsim.RotMat(*car.physics.rotation_mtx.transpose().flatten()) | ||
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car_state.demo_respawn_timer = car.demo_respawn_timer | ||
car_state.is_on_ground = car.on_ground | ||
car_state.supersonic_time = car.supersonic_time | ||
car_state.boost = car.boost_amount * 100 | ||
car_state.time_spent_boosting = car.boost_active_time | ||
car_state.handbrake_val = car.handbrake | ||
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car_state.has_jumped = car.has_jumped | ||
car_state.last_controls.jump = car.is_holding_jump | ||
car_state.is_jumping = car.is_jumping | ||
car_state.jump_time = car.jump_time | ||
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car_state.has_flipped = car.has_flipped | ||
car_state.has_double_jumped = car.has_double_jumped | ||
car_state.air_time_since_jump = car.air_time_since_jump | ||
car_state.flip_time = car.flip_time | ||
car_state.last_rel_dodge_torque = rsim.Vec(*car.flip_torque) | ||
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car_state.is_auto_flipping = car.is_autoflipping | ||
car_state.auto_flip_timer = car.autoflip_timer | ||
car_state.auto_flip_torque_scale = car.autoflip_direction | ||
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if car.bump_victim_id is not None: | ||
car_state.car_contact_id = car.bump_victim_id | ||
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return car_state |
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import time | ||
import numpy as np | ||
from itertools import chain | ||
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from rlgym.api import RLGym | ||
from rlgym.rocket_league.action_parsers import LookupTableAction, RepeatAction | ||
from rlgym.rocket_league.done_conditions import GoalCondition, AnyCondition, TimeoutCondition, NoTouchTimeoutCondition | ||
from rlgym.rocket_league.obs_builders import DefaultObs | ||
from rlgym.rocket_league.reward_functions import CombinedReward, GoalReward, TouchReward | ||
from rlgym.rocket_league.sim import RocketSimEngine | ||
from rlgym.rocket_league.state_mutators import MutatorSequence, FixedTeamSizeMutator, KickoffMutator | ||
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from gym_renderer import RLViserRenderer | ||
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env = RLGym( | ||
state_mutator=MutatorSequence( | ||
FixedTeamSizeMutator(blue_size=2, orange_size=2), | ||
KickoffMutator() | ||
), | ||
obs_builder=DefaultObs(zero_padding=None), | ||
action_parser=RepeatAction(LookupTableAction(), repeats=8), | ||
reward_fn=CombinedReward( | ||
(GoalReward(), 10.), | ||
(TouchReward(), 0.1) | ||
), | ||
termination_cond=GoalCondition(), | ||
truncation_cond=AnyCondition( | ||
TimeoutCondition(timeout=300.), | ||
NoTouchTimeoutCondition(timeout=30.) | ||
), | ||
transition_engine=RocketSimEngine(), | ||
renderer=RLViserRenderer() | ||
) | ||
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# simulate 2 episodes | ||
for _ in range(2): | ||
obs_dict = env.reset() | ||
steps = 0 | ||
ep_reward = {agent_id: 0. for agent_id in env.agents} | ||
t0 = time.time() | ||
while True: | ||
env.render() | ||
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actions = {} | ||
for agent_id, action_space in env.action_spaces.items(): | ||
# agent.act(obs) | Your agent should go here | ||
actions[agent_id] = np.random.randint(action_space, size=(1,)) | ||
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obs_dict, reward_dict, terminated_dict, truncated_dict = env.step(actions) | ||
for agent_id, reward in reward_dict.items(): | ||
ep_reward[agent_id] += reward | ||
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if any(chain(terminated_dict.values(), truncated_dict.values())): | ||
break | ||
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time.sleep(max(0, t0 + steps / 15 - time.time())) | ||
steps += 1 | ||
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ep_time = time.time() - t0 | ||
print("Steps per second: {:.0f} | Episode time: {:.2f} | Episode Reward: {:.2f}".format( | ||
steps / ep_time, ep_time, max(ep_reward.values()))) |