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pytorch-trpo
Python

pytorch-trpo

PyTorch implementation of Trust Region Policy Optimization

by ikostrikov · GitHub
448
Stars
90
Forks
MIT
License
2017
Created
7 yr ago
Last commit
continuous-control
Category
Python
Language
continuous-controldeep-learningdeep-reinforcement-learningMITPython
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In plain words

Implement Trust Region Policy Optimization for reinforcement learning tasks using PyTorch.

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2026-07-202026-08-31
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📄 About

PyTorch implementation of Trust Region Policy Optimization

pytorch-trpo has 448 stars on GitHub. It has been forked 90 times. pytorch-trpo is written mainly in Python. It has been in active development since 2017. pytorch-trpo is available under the MIT license. Its main topics are continuous-control, deep-learning, deep-reinforcement-learning, mujoco.

❓ Frequently asked questions

What is pytorch-trpo?

PyTorch implementation of Trust Region Policy Optimization

Is pytorch-trpo open source?

pytorch-trpo is an open-source project. It is released under the MIT license.

Is pytorch-trpo free?

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

What license does pytorch-trpo use?

pytorch-trpo is available under the MIT license.

What language is pytorch-trpo written in?

pytorch-trpo is written mainly in Python.

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