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feat(*): Final commit for Sarpy V1 trained in the actual game

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Josh Creek
2023-10-22 15:31:37 +01:00
parent 88addb1cf5
commit 2bf72b8179
4 changed files with 70 additions and 108 deletions
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rl-training.py
+31 -14
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@@ -20,6 +20,7 @@ from rlgym.utils.reward_functions.common_rewards import (
FaceBallReward,
TouchBallReward,
AlignBallGoal,
SaveBoostReward,
)
from rlgym.utils.obs_builders import AdvancedObs
from rlgym.utils.state_setters import DefaultState
@@ -71,24 +72,40 @@ if __name__ == "__main__": # Required for multiprocessing
(
VelocityPlayerToBallReward(),
VelocityBallToGoalReward(),
LiuDistanceBallToGoalReward(),
EventReward(
team_goal=100.0,
team_goal=1000.0,
concede=-100.0,
shot=5.0,
save=30.0,
demo=10.0,
shot=10.0,
save=60.0,
demo=20.0,
),
BallYCoordinateReward(),
RewardIfClosestToBall(LiuDistancePlayerToBallReward()),
LiuDistancePlayerToBallReward(),
FaceBallReward(),
TouchBallReward(),
AlignBallGoal(),
KickoffReward(),
SaveBoostReward(),
),
(50.0, 10.0, 20.0, 10.0, 0.1, 10.0, 1.0, 0.2, 10.0, 20.0, 10.0),
(1.0, 1.0, 1.0, 1.0, 1.0),
),
# reward_function=CombinedReward(
# (
# VelocityPlayerToBallReward(),
# VelocityBallToGoalReward(),
# LiuDistanceBallToGoalReward(),
# EventReward(
# team_goal=10000.0,
# concede=-10000.0,
# shot=10.0,
# save=60.0,
# demo=20.0,
# ),
# BallYCoordinateReward(),
# RewardIfClosestToBall(LiuDistancePlayerToBallReward()),
# LiuDistancePlayerToBallReward(),
# FaceBallReward(),
# TouchBallReward(),
# AlignBallGoal(),
# KickoffReward(),
# ),
# (50.0, 10.0, 20.0, 100.0, 0.1, 10.0, 1.0, 0.2, 10.0, 20.0, 10.0),
# ),
spawn_opponents=True,
terminal_conditions=[
TimeoutCondition(fps * 300),
@@ -104,8 +121,8 @@ if __name__ == "__main__": # Required for multiprocessing
# Generate the environment (the Rocket League game used by RL Gym)
env = SB3MultipleInstanceEnv(
get_match, 10
) # Start 10 instances, waiting 60 seconds between each
get_match, 14
) # Start 14 instances, waiting 30 seconds between each
env = VecCheckNan(env) # Optional
env = VecMonitor(env) # Recommended, logs mean reward and ep_len to Tensorboard
env = VecNormalize(