# marlbenchmark/off-policy

<https://repo.masters-masters.com/en/repos/marlbenchmark/off-policy>

[Home](https://repo.masters-masters.com/en) › [marlbenchmark](https://repo.masters-masters.com/en/owners/marlbenchmark) › [off-policy](https://repo.masters-masters.com/en/repos/marlbenchmark/off-policy)

marlbenchmark/off-policy has 551 stars on GitHub. Its RepoMasters card: Alpha tier. PyTorch implementations of popular off-policy multi-agent reinforcement…

| Field | Value |
| --- | --- |
| Owner | [marlbenchmark](https://repo.masters-masters.com/en/owners/marlbenchmark) |
| Stars | 551 |
| Forks | 82 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2021 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [marlbenchmark/off-policy](https://github.com/marlbenchmark/off-policy) |

## Repository

PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.

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

## More repos by marlbenchmark

- [marlbenchmark/on-policy · ★ 2,128 · Python · RC](https://repo.masters-masters.com/en/repos/marlbenchmark/on-policy)

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