Developing a C++ Library based on Torch

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

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  • RLPack

    Discontinued Implementation of RL Algorithms built on top of PyTorch. Heavy workloads have been optimized with C++ backend.

  • Repo: https://github.com/kartik2309/RLPack

  • open_spiel

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

  • You may want to take a look at OpenSpiel, which is a C++ framework with python bindings for various games/algorithms. The documentation is quite easy to follow and its not too hard to add your own extensions.

  • 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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  • muzero-cpp

    A C++ pytorch implementation of MuZero

  • I also have a C++ implementation of MuZero, which has checkpointing/tensorboard support. If you have questions about design or functionality, let me know.

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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