trpo
Trust Region Policy Optimization with TensorFlow and OpenAI Gym
Train AI models to control robotic environments without manually adjusting settings.
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trpo has 363 stars on GitHub. It has been forked 106 times. trpo is written mainly in Jupyter Notebook. It has been in active development since 2017. trpo is available under the MIT license. Its main topics are machine-learning, mujoco, policy-gradient, reinforcement-learning.
What is trpo?
Trust Region Policy Optimization with TensorFlow and OpenAI Gym
Is trpo open source?
trpo is an open-source project. It is released under the MIT license.
Is trpo free?
Yes. trpo is free and open source — you can use, modify and self-host it.
What license does trpo use?
trpo is available under the MIT license.
What language is trpo written in?
trpo is written mainly in Jupyter Notebook.
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