Repository · GitHub
rail-berkeley/softlearning
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
| Owner | rail-berkeley |
|---|---|
| Stars | 1,440 |
| Forks | 249 |
| Main language | Python |
| Created | 3 December 2018 |
| Last updated at source | 29 November 2023 |
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