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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Unified Reinforcement Learning Framework
| Date | Stars |
|---|---|
| 2026-07-31 | 839 |
| 2026-08-01 | 839 |
| 2026-08-02 | 839 |
| 2026-08-11 | 839 |
| 2026-08-12 | 839 |
| 2026-08-18 | 840 |
| 2026-08-21 | 841 |
| 2026-09-20 | 841 |
Today
— stars today
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Momentum
0.0
growth rate 0.00%/day
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<a href="https://openrl-docs.readthedocs.io/"><img width="450px" height="auto" src="docs/images/openrl_text.png"></a>
</div>
---
[](https://pypi.org/project/openrl/)

[](https://anaconda.org/openrl/openrl)
[](https://anaconda.org/openrl/openrl)
[](https://anaconda.org/openrl/openrl)
[](https://github.com/psf/black)
[](https://hitsofcode.com/github/OpenRL-Lab/openrl/view?branch=main)
[](https://codecov.io/gh/OpenRL-Lab/openrl)
[](https://openrl-docs.readthedocs.io/en/latest/?badge=latest)
[](https://openrl-docs.readthedocs.io/zh/latest/)

[](https://github.com/opendilab/OpenRL/stargazers)
[](https://github.com/OpenRL-Lab/openrl/network)

[](https://github.com/OpenRL-Lab/openrl/issues)
[](https://github.com/OpenRL-Lab/openrl/pulls)
[](https://github.com/OpenRL-Lab/openrl/graphs/contributors)
[](https://github.com/OpenRL-Lab/openrl/blob/master/LICENSE)
[](https://discord.gg/qMbVT2qBhr)
[](https://join.slack.com/t/openrlhq/shared_invite/zt-1tqwpvthd-Eeh0IxQ~DIaGqYXoW2IUQg)
OpenRL-v0.2.1 is updated on Dec 20, 2023
The main branch is the latest version of OpenRL, which is under active development. If you just want to have a try with
OpenRL, you can switch to the stable branch.
## Welcome to OpenRL
[Documentation](https://openrl-docs.readthedocs.io/en/latest/) | [中文介绍](README_zh.md) | [中文文档](https://openrl-docs.readthedocs.io/zh/latest/)
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Crafting Reinforcement Learning Frameworks with Passion, Your Valuable Insights Welcome. <br><br>
</div>
OpenRL is an open-source general reinforcement learning research framework that supports training for various tasks
such as single-agent, multi-agent, offline RL, self-play, and natural language.
Developed based on PyTorch, the goal of OpenRL is to provide a simple-to-use, flexible, efficient and sustainable
platform for the reinforcement learning research community.
Currently, the features supported by OpenRL include:
- A **simple-to-use universal interface** that supports training for all tasks/environments
- Support for both single-agent and multi-agent tasks
- Support for offline RL training with expert dataset
- Support self-play training
- Reinforcement learning training support for natural language tasks (such as dialogue)
- Support [DeepSpeed](https://github.com/microsoft/DeepSpeed)
- Support [Arena](https://openrl-docs.readthedocs.io/en/latest/arena/index.html) , which allows convExcerpt of 19,839 characters
Read on GitHubShiyu Huang · XPENG · China
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Ruize Zhang · Tsinghua University · China
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:3c002020bfccd865, topic:reinforcement-learning, topic:gymnasium, topic:multi-agent-reinforcement-learning
matched fp:3c002020bfccd865, topic:robotics, topic:embodied-ai