Rank #4,707 1,440 starsPython

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)

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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

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Rank #4,707 of 9,507 in AI on GitHub, by stars. Data from the GitHub API, fetched Oct 18, 2026; star counts change daily. Stars measure popularity, not quality or safety, and a listing is not an endorsement. How this list is made

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