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RLGym-Learn-algos

A set of standard implementations of common algorithms for use with rlgym-learn

Features

  • PPO agent controller
  • Flexible metrics logging
  • File-based configuration

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 rlgym-learn via pip install rlgym-learn
  4. Install this project 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 in the rlgym-learn repo to get a sense of what's going on.

Credits

This code was separated out from rlgym-learn, which itself was created using rlgym-ppo as a base. The following files were largely written by Matthew Allen, the creator of rlgym-ppo: ppo/basic_critic.py ppo/continuous_actor.py ppo/critic.py ppo/discrete_actor.py ppo/multi_discrete_actor.py ppo/experience_buffer.py util/*

In general his support for this project has allowed it to become what it is today.

Metadata

Release files for rlgym-learn-algos 0.4.2

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-algos 0.4.2
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Built distributions (wheels)

Table of built distributions (wheels) for rlgym-learn-algos 0.4.2
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rlgym_learn_algos-0.4.2-cp314-cp314-win_amd64.whl CPython 3.14 CPython 3.14 Windows x86-64 Details
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rlgym_learn_algos-0.4.2-cp314-cp314-musllinux_1_2_x86_64.whl CPython 3.14 CPython 3.14 Linux musl 1.2+ x86-64 Details
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Total release size: 32.9 MB

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