rail-berkeley/softlearning

rail-berkeley/softlearning has 1,438 GitHub stars and 248 forks. GitHot measured 0 stars in 24 hours. Last checked 2026-11-04 11:58 UTC. Last push 2023-11-29.

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Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

1,438 stars 248 forks

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README.md

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