# tinkoff-ai/CORL

<https://repo.masters-masters.com/en/repos/tinkoff-ai/CORL>

[Home](https://repo.masters-masters.com/en) › [tinkoff-ai](https://repo.masters-masters.com/en/owners/tinkoff-ai) › [CORL](https://repo.masters-masters.com/en/repos/tinkoff-ai/CORL)

tinkoff-ai/CORL has 1,376 stars on GitHub. Its RepoMasters card: Beta tier. High-quality single-file implementations of SOTA Offline and Offline-to-Online RL…

| Field | Value |
| --- | --- |
| Owner | [tinkoff-ai](https://repo.masters-masters.com/en/owners/tinkoff-ai) |
| Stars | 1,376 |
| Forks | 176 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2022 |
| Topics | d4rl, gym, offline-reinforcement-learning, reinforcement-learning |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [tinkoff-ai/CORL](https://github.com/tinkoff-ai/CORL) |

## Repository

High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

Archived: this repository is read-only

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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