# rail-berkeley/softlearning

<https://repo.masters-masters.com/en/repos/rail-berkeley/softlearning>

[Home](https://repo.masters-masters.com/en) › [rail-berkeley](https://repo.masters-masters.com/en/owners/rail-berkeley) › [softlearning](https://repo.masters-masters.com/en/repos/rail-berkeley/softlearning)

rail-berkeley/softlearning has 1,438 stars on GitHub. Its RepoMasters card: Beta tier. Softlearning is a reinforcement learning framework for training maximum…

| Field | Value |
| --- | --- |
| Owner | [rail-berkeley](https://repo.masters-masters.com/en/owners/rail-berkeley) |
| Stars | 1,438 |
| Forks | 248 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2018 |
| Topics | reinforcement-learning, soft-actor-critic, deep-learning, deep-reinforcement-learning, deep-neural-networks, machine-learning |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [rail-berkeley/softlearning](https://github.com/rail-berkeley/softlearning) |

## Repository

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

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

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Data: GitHub · Illustration: the project’s public image, pixelated by RepoMasters.