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readme update
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Theohhhu committed Apr 25, 2023
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[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Replicable-MARL/MARLlib/blob/sy_dev/marllib.ipynb)
[![Organization](https://img.shields.io/badge/Organization-ReLER_RL-blue.svg)](https://github.com/Replicable-MARL/MARLlib)
[![Organization](https://img.shields.io/badge/Organization-PKU_MARL-blue.svg)](https://github.com/Replicable-MARL/MARLlib)

MARL algorithms: [![Awesome](https://awesome.re/badge.svg)](https://marllib.readthedocs.io/en/latest/resources/awesome.html)

MARL environments: [![Awesome](https://awesome.re/badge.svg)](https://marllib.readthedocs.io/en/latest/handbook/env.html)

[![Awesome](https://awesome.re/badge.svg)](https://marllib.readthedocs.io/en/latest/resources/awesome.html)

> __News__:
> We are excited to announce that a major update has just been released. For detailed version information, please refer to the [version info](https://github.com/Replicable-MARL/MARLlib/releases/tag/1.0.2).
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## Awesome List

A collection of research and review papers of multi-agent reinforcement learning (MARL) is available [here](https://marllib.readthedocs.io/en/latest/resources/awesome.html). The papers have been organized based on their publication date and their evaluation of the corresponding environments.
A collection of research and review papers of multi-agent reinforcement learning (MARL) is available. The papers have been organized based on their publication date and their evaluation of the corresponding environments.

Algorithms: [![Awesome](https://awesome.re/badge.svg)](https://marllib.readthedocs.io/en/latest/resources/awesome.html)
Environments: [![Awesome](https://awesome.re/badge.svg)](https://marllib.readthedocs.io/en/latest/handbook/env.html)


## Community

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