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Welcome to CleanMARL documentation!
===================================

   
CleanMARL provides single file implementations of Deep Multi-Agent Reinforcement Learning (MARL) algorithms. 
In addition, it serves as an **educational resource** for learning the algorithms and implementations of MARL. 
In a nutshell this project is a combination of `CleanRL <https://github.com/vwxyzjn/cleanrl>`_ 
and `Spinning Up in Deep RL <https://spinningup.openai.com/en/latest/>`_ but for **multi-agent RL**.




Github repository: https://github.com/AmineAndam04/cleanmarl


Main Features
-------------
- Implementations of key MARL algorithms: VDN, QMIX, COMA, MADDPG, FACMAC, IPPO, and MAPPO.
- A documentation for algorithms, code and training details. 
- We support parallel environments and recurrent policies. 
- Tensorboard and Weights & Biases logging.




Contents
--------

.. toctree::
   :maxdepth: 2

   marl
   cleanmarl
   
   VDN <algorithms/vdn>
   QMIX <algorithms/qmix>
   COMA <algorithms/coma>
   MADDPG <algorithms/maddpg>
   FACMAC <algorithms/facmac>
   Idependent PPO <algorithms/ippo>
   Multi-agent PPO <algorithms/mappo>

   design
   author