# yangchen1997/Multi-Agent-Reinforcement-Learning

<https://repo.masters-masters.com/en/repos/yangchen1997/Multi-Agent-Reinforcement-Learning>

[Home](https://repo.masters-masters.com/en) › [yangchen1997](https://repo.masters-masters.com/en/owners/yangchen1997) › [Multi-Agent-Reinforcement-Learning](https://repo.masters-masters.com/en/repos/yangchen1997/Multi-Agent-Reinforcement-Learning)

yangchen1997/Multi-Agent-Reinforcement-Learning has 254 stars on GitHub. Its RepoMasters card: Alpha tier. PyTorch implements multi-agent reinforcement…

| Field | Value |
| --- | --- |
| Owner | [yangchen1997](https://repo.masters-masters.com/en/owners/yangchen1997) |
| Stars | 254 |
| Forks | 26 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | multi-agent-reinforcement-learning, pettingzoo, pytorch, qmix, centralized-ppo, grid-wise-control, independent-ppo |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [yangchen1997/Multi-Agent-Reinforcement-Learning](https://github.com/yangchen1997/Multi-Agent-Reinforcement-Learning) |

## Repository

PyTorch implements multi-agent reinforcement learning algorithms, including QMIX, Independent PPO, Centralized PPO, Grid Wise Control, Grid Wise Control+PPO, Grid Wise Control+DDPG.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.