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softlearning
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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.

by rail-berkeley · GitHub
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deep-learningdeep-neural-networksdeep-reinforcement-learningPython
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Train AI models to make decisions in complex environments using a framework designed for continuous learning tasks.

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2026-07-202026-08-31
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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.

softlearning has 1.4k stars on GitHub. It has been forked 248 times. softlearning is written mainly in Python. It has been in active development since 2018. Its main topics are deep-learning, deep-neural-networks, deep-reinforcement-learning, machine-learning.

Frequently asked questions

What is 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.

Is softlearning open source?

softlearning is an open-source project.

Is softlearning free?

Yes. softlearning is free and open source — you can use, modify and self-host it.

What language is softlearning written in?

softlearning is written mainly in Python.

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