# denisyarats/pytorch\_sac\_ae

<https://repo.masters-masters.com/en/repos/denisyarats/pytorch_sac_ae>

[Home](https://repo.masters-masters.com/en) › [denisyarats](https://repo.masters-masters.com/en/owners/denisyarats) › [pytorch\_sac\_ae](https://repo.masters-masters.com/en/repos/denisyarats/pytorch_sac_ae)

denisyarats/pytorch\_sac\_ae has 256 stars on GitHub. Its RepoMasters card: Alpha tier. PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

| Field | Value |
| --- | --- |
| Owner | [denisyarats](https://repo.masters-masters.com/en/owners/denisyarats) |
| Stars | 256 |
| Forks | 34 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Topics | reinforcement-learning, dm-control, soft-actor-critic, pytorch, deep-reinforcement-learning, actor-critic, mujoco, gym, deep-learning, autoencoder |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [denisyarats/pytorch\_sac\_ae](https://github.com/denisyarats/pytorch_sac_ae) |

## Repository

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

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.