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.

machine-learning deep-learning

View on GitHub Website

1k Stars

228 Forks

1k Watchers

Python Language

other License

Cost to Build

$911.0K

Market Value

$2.36M

How is this calculated?

Growth over time

7 data points · 2021-08-01 → 2023-03-01

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about softlearning

Question copied to clipboard

What is the rail-berkeley/softlearning GitHub project? Description: "Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone softlearning

Clone via HTTPS

git clone https://github.com/rail-berkeley/softlearning.git

Clone via SSH

[email protected]:rail-berkeley/softlearning.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the softlearning issue tracker:

Open GitHub Issues

Similar to softlearning

tensorflow keras scikit-learn caffe TensorFlow-Examples tesseract machine-learning-for-software-engineers awesome-deep-learning-papers face_recognition CNTK incubator-mxnet data-science-ipython-notebooks lectures cs-video-courses julia Qix Screenshot-to-code spaCy cheatsheets-ai awesome-deep-learning python-machine-learning-book WaveFunctionCollapse handson-ml ML-From-Scratch gun dive-into-machine-learning tfjs tflearn awesome-datascience openpose