Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Learn and practice reinforcement learning techniques through simple tutorials and examples in Python.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeSimple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Reinforcement-learning-with-tensorflow has 9.5k stars on GitHub. It has been forked 5k times. Reinforcement-learning-with-tensorflow is written mainly in Python. It has been in active development since 2017. Reinforcement-learning-with-tensorflow is available under the MIT license. Its main topics are a3c, actor-critic, asynchronous-advantage-actor-critic, ddpg.
What is Reinforcement-learning-with-tensorflow?
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Is Reinforcement-learning-with-tensorflow open source?
Reinforcement-learning-with-tensorflow is an open-source project. It is released under the MIT license.
Is Reinforcement-learning-with-tensorflow free?
Yes. Reinforcement-learning-with-tensorflow is free and open source — you can use, modify and self-host it.
What license does Reinforcement-learning-with-tensorflow use?
Reinforcement-learning-with-tensorflow is available under the MIT license.
What language is Reinforcement-learning-with-tensorflow written in?
Reinforcement-learning-with-tensorflow is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/morvanzhou-reinforcement-learning-with-tensorflow.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.