# google-research/batch\_rl

<https://repo.masters-masters.com/en/repos/google-research/batch_rl>

[Home](https://repo.masters-masters.com/en) › [google-research](https://repo.masters-masters.com/en/owners/google-research) › [batch\_rl](https://repo.masters-masters.com/en/repos/google-research/batch_rl)

google-research/batch\_rl has 560 stars on GitHub. Its RepoMasters card: Alpha tier. Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari…

| Field | Value |
| --- | --- |
| Owner | [google-research](https://repo.masters-masters.com/en/owners/google-research) |
| Stars | 560 |
| Forks | 73 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2019 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [google-research/batch\_rl](https://github.com/google-research/batch_rl) |

## Repository

Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games

Archived: this repository is read-only

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.