How do you train Agent for something like Chess or Game of the Generals?

This page summarizes the projects mentioned and recommended in the original post on /r/reinforcementlearning
Gym multi-agent openai-gym reinforcement-learning Environment

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  • mcts-general

    General Python implementation of Monte Carlo Tree Search for the use with Open AI Gym environments.

    • I also did an an Implementation of MCTS for gym, that also deals with the continuous environments and is a bit more object oriented

  • ma-gym

    A collection of multi agent environments based on OpenAI gym.

    • There are projects working on a multi agent version of gym. Maybe you find some inspiration there.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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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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