GitHub - mintecr7/2v2-football: Reinforcement learning implementation of 2v2 football

This project uses Reinforcment learning to to teach ML agents to apply 2v2 Football

#dependences -UnityEnvironment -mlagents_envs.environment -cuda (optional) -conda after setting up the environmnent run main1.py - python main1.py

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
CoE202_Data		CoE202_Data
MonoBleedingEdge		MonoBleedingEdge
__pycache__		__pycache__
.DS_Store		.DS_Store
CoE202.exe		CoE202.exe
UnityCrashHandler32.exe		UnityCrashHandler32.exe
UnityCrashHandler64.exe		UnityCrashHandler64.exe
UnityPlayer.dll		UnityPlayer.dll
agent.py		agent.py
checkpoint_goalie_actor.pth		checkpoint_goalie_actor.pth
checkpoint_goalie_critic.pth		checkpoint_goalie_critic.pth
checkpoint_striker_actor.pth		checkpoint_striker_actor.pth
checkpoint_striker_critic.pth		checkpoint_striker_critic.pth
main1.py		main1.py
memory.py		memory.py
model.py		model.py
optimizer.py		optimizer.py
readme.md		readme.md
sample_code.py		sample_code.py
unityagents-0.4.0-py3-none-any.whl		unityagents-0.4.0-py3-none-any.whl

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