rail-berkeley/
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
by Robotic AI & Learning Lab Berkeley Python Other licence 248 forks Created Dec 2018 View on GitHub
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