Training with multiple agents.

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

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  • open_spiel

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

  • Yes, check out OpenSpiel (https://github.com/deepmind/open_spiel).

  • Mava

    🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX

  • The OpenSpiel games (as well as several others) are also available from MAVA (https://github.com/instadeepai/Mava).

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  • PettingZoo

    An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

  • Thank you for your comment. This is certainly helpful. I have since read more about this domain and turns out mathematically it is modeled using Markov/Stochastic game representations. I also found PettingZoo which can be used with RayLib for MARL problems.

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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