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minimal-marl

Minimal implementation of multi-agent reinforcement learning algorithms(marl). This repo complements ma-gym and is is inspired by minimalRl which provides minimal implementation for RL algorithms for the ease of understanding.

Installation

  pip install ma-gym>=0.0.7 torch>=1.8 wandb

Usage

python <algo_name>.py # such as `vdn.py`

Algorithms

  • IDQN ( Independent Deep-Q Network) [DQN version of IQL]
  • VDN (Value Decomposition Network)
  • QMIX
  • MADDPG (Multi Agent Deep Deterministic Policy Gradient)
    • Status: Not converging at the moment

Contributing

Contributions are always welcome!

Feel free to send a pull-request if you would like to add a new algorithm or further optimize an existing algorithm. Also, If adding a new algorithm, please start by raising an issue.