softlearning
by rail-berkeley (organization)
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm. (description from the project’s GitHub page)
Repository facts
- Stars
- 1,440
- Forks
- 249
- Open issues and pull requests
- 53
- Primary language
- Python
- License
- Other license
- Owner
- rail-berkeley · Organization
- Created
- Dec 3, 2018
- Last push
- Nov 29, 2023
Topics
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