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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.

Ownerrail-berkeley
Stars1,440
Forks249
Main languagePython
Created3 December 2018
Last updated at source29 November 2023
pythondeep-learningdeep-neural-networksdeep-reinforcement-learningmachine-learningreinforcement-learningsoft-actor-critic
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