Policy for each of multi-agents in RL

This page summarizes the projects mentioned and recommended in the original post on /r/reinforcementlearning

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  • PantheonRL

    PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tuning, ad-hoc coordination, and more.

  • open_spiel

    OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

  • The RL agents in OpenSpiel (https://github.com/deepmind/open_spiel) are designed with this setting as the default (so like, DQN run in Tic-Tac-Toe would have two separate agents learning against each other: one knows how to play as player 1, the other as player 2).

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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