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PyTorch implementations of various DRL algorithms for both single agent and multi-agent.

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Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
__pycache__		__pycache__
common		common
A2C.py		A2C.py
DDPG.py		DDPG.py
DQN.py		DQN.py
MAA2C.py		MAA2C.py
MADDPG.py		MADDPG.py
MADQN.py		MADQN.py
README.md		README.md
run_a2c.py		run_a2c.py
run_ddpg.py		run_ddpg.py
run_dqn.py		run_dqn.py

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pytorch-madrl

This project includes PyTorch implementations of various Deep Reinforcement Learning algorithms for both single agent and multi-agent.

A2C
DQN
DDPG

Requirements

gym
python 3.6
pytorch

Usage

To train a model:

$ python run_a2c.py

TODO

TRPO
PPO
LOLA

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PyTorch implementations of various DRL algorithms for both single agent and multi-agent.

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