RLGym-Learn

A flexible framework for efficiently using RLGym v2 to train models.

Features

  • Full support for all generics of the RLGym v2 API
  • Full support for all functionality of RLGym v2 across multiple environments
  • Fast parallelization of environments using Rust and shared memory
  • Support for metrics gathering from environments
  • Detailed checkpointing system
  • File-based configuration
  • Provided optimized PPO implementation
  • Allows multiple learning algorithms to provide actions for agents within an environment
  • Multi-platform (Windows, Linux)

Installation

  1. install RLGym via pip install rlgym. If you're here for Rocket League, you can use pip install rlgym[rl-rlviser] instead to get the RLGym API as well as the Rocket League / Sim submodules and rlviser support.
  2. If you would like to use a GPU install PyTorch with CUDA
  3. Install this project via pip install rlgym-learn
  4. Install rlgym-learn-algos via pip install rlgym-learn-algos
  5. If pip installing fails at first, install Rust by following the instructions here

Usage

See the RLGym website for complete documentation and demonstration of functionality [COMING SOON]. For now, you can take a look at quick_start_guide.py and speed_test.py to get a sense of what's going on.

Credits

This project was built using Matthew Allen's wonderful RLGym-PPO as a starting point. Although this project has grown to share almost no code with its predecessor, I couldn't have done this without his support in talking through the design of abstractions and without RLGym-PPO to reference.

All of his files which remain similar have been refactored out to rlgym-learn-algos, although there is still util/KBHit.py contributed by Ian Cunnyngham which comes from RLGym-ppo.

Disclaimer

This framework is designed to be usable in every situation you might use the RLGym API in. However, there are a couple assumptions on the usage of RLGym which are baked into the functionality of this framework. These are pretty niche, but are listed below just in case:

  1. The AgentID hash must fit into a signed 64 bit integer.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for JPK314 from gravatar.com JPK314

Credits

Author: Jonathan Keegan

License

Apache-2.0

Requires

Python <=3.14, >=3.10

Classifiers

Report project as malware

Metadata

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for JPK314 from gravatar.com JPK314

Credits

Author: Jonathan Keegan

License

Apache-2.0

Requires

Python <=3.14, >=3.10

Classifiers

Report project as malware

Release files for rlgym-learn 2.0.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for rlgym-learn 2.0.0
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Built distributions (wheels)

Table of built distributions (wheels) for rlgym-learn 2.0.0
File
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rlgym_learn-2.0.0-cp314-cp314-musllinux_1_2_x86_64.whl 1.2 MB CPython 3.14 CPython 3.14 Linux musl 1.2+ x86-64 Details
rlgym_learn-2.0.0-cp314-cp314-musllinux_1_2_i686.whl 1.2 MB CPython 3.14 CPython 3.14 Linux musl 1.2+ x86-32 Details
rlgym_learn-2.0.0-cp314-cp314-musllinux_1_2_armv7l.whl 1.2 MB CPython 3.14 CPython 3.14 Linux musl 1.2+ ARMv7l Details
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rlgym_learn-2.0.0-cp313-cp313-musllinux_1_2_i686.whl 1.2 MB CPython 3.13 CPython 3.13 Linux musl 1.2+ x86-32 Details
rlgym_learn-2.0.0-cp313-cp313-musllinux_1_2_armv7l.whl 1.2 MB CPython 3.13 CPython 3.13 Linux musl 1.2+ ARMv7l Details
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rlgym_learn-2.0.0-cp313-cp313-manylinux_2_12_i686.manylinux2010_i686.whl 1.0 MB CPython 3.13 CPython 3.13 Linux glibc 2.12+ x86-32 Details
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rlgym_learn-2.0.0-cp312-cp312-musllinux_1_2_x86_64.whl 1.2 MB CPython 3.12 CPython 3.12 Linux musl 1.2+ x86-64 Details
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rlgym_learn-2.0.0-cp312-cp312-musllinux_1_2_armv7l.whl 1.2 MB CPython 3.12 CPython 3.12 Linux musl 1.2+ ARMv7l Details
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rlgym_learn-2.0.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl 974.8 kB CPython 3.12 CPython 3.12 Linux glibc 2.17+ IBM System/390x Details
rlgym_learn-2.0.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl 1.1 MB CPython 3.12 CPython 3.12 Linux glibc 2.17+ PowerPC 64-le Details
rlgym_learn-2.0.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl 937.6 kB CPython 3.12 CPython 3.12 Linux glibc 2.17+ ARMv7l Details
rlgym_learn-2.0.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 940.5 kB CPython 3.12 CPython 3.12 Linux glibc 2.17+ ARM64 Details
rlgym_learn-2.0.0-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.whl 1.0 MB CPython 3.12 CPython 3.12 Linux glibc 2.12+ x86-32 Details
rlgym_learn-2.0.0-cp311-cp311-win_amd64.whl 756.9 kB CPython 3.11 CPython 3.11 Windows x86-64 Details
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rlgym_learn-2.0.0-cp311-cp311-musllinux_1_2_x86_64.whl 1.2 MB CPython 3.11 CPython 3.11 Linux musl 1.2+ x86-64 Details
rlgym_learn-2.0.0-cp311-cp311-musllinux_1_2_i686.whl 1.2 MB CPython 3.11 CPython 3.11 Linux musl 1.2+ x86-32 Details
rlgym_learn-2.0.0-cp311-cp311-musllinux_1_2_armv7l.whl 1.2 MB CPython 3.11 CPython 3.11 Linux musl 1.2+ ARMv7l Details
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rlgym_learn-2.0.0-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.whl 1.0 MB CPython 3.11 CPython 3.11 Linux glibc 2.12+ x86-32 Details
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rlgym_learn-2.0.0-cp310-cp310-musllinux_1_2_x86_64.whl 1.2 MB CPython 3.10 CPython 3.10 Linux musl 1.2+ x86-64 Details
rlgym_learn-2.0.0-cp310-cp310-musllinux_1_2_i686.whl 1.2 MB CPython 3.10 CPython 3.10 Linux musl 1.2+ x86-32 Details
rlgym_learn-2.0.0-cp310-cp310-musllinux_1_2_armv7l.whl 1.2 MB CPython 3.10 CPython 3.10 Linux musl 1.2+ ARMv7l Details
rlgym_learn-2.0.0-cp310-cp310-musllinux_1_2_aarch64.whl 1.1 MB CPython 3.10 CPython 3.10 Linux musl 1.2+ ARM64 Details
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rlgym_learn-2.0.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl 1.1 MB CPython 3.10 CPython 3.10 Linux glibc 2.17+ PowerPC 64-le Details
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rlgym_learn-2.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 957.3 kB CPython 3.10 CPython 3.10 Linux glibc 2.17+ ARM64 Details
rlgym_learn-2.0.0-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl 1.0 MB CPython 3.10 CPython 3.10 Linux glibc 2.12+ x86-32 Details

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This release

2.0.0 This release

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