# BY571/Soft-Actor-Critic-and-Extensions

<https://repo.masters-masters.com/en/repos/BY571/Soft-Actor-Critic-and-Extensions>

[Home](https://repo.masters-masters.com/en) › [BY571](https://repo.masters-masters.com/en/owners/BY571) › [Soft-Actor-Critic-and-Extensions](https://repo.masters-masters.com/en/repos/BY571/Soft-Actor-Critic-and-Extensions)

BY571/Soft-Actor-Critic-and-Extensions has 294 stars on GitHub. Its RepoMasters card: Alpha tier. PyTorch implementation of Soft-Actor-Critic and Prioritized…

| Field | Value |
| --- | --- |
| Owner | [BY571](https://repo.masters-masters.com/en/owners/BY571) |
| Stars | 294 |
| Forks | 35 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2020 |
| Topics | reinforcement-learning, reinforcement-learning-algorithms, soft-actor-critic, prioritized-experience-replay, emphasizing-recent-experience, sac, pytorch, continuous, actor-critic-algorithm, munchausen-reinforcement-learning |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [BY571/Soft-Actor-Critic-and-Extensions](https://github.com/BY571/Soft-Actor-Critic-and-Extensions) |

## Repository

PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.

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.