Source codes for the book "Reinforcement Learning: Theory and Python Implementation"
Read and implement reinforcement learning theories and algorithms using Python from a tutorial book.
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 anytimeSource codes for the book "Reinforcement Learning: Theory and Python Implementation"
rl-book has 1k stars on GitHub. It has been forked 335 times. rl-book is written mainly in HTML. It has been in active development since 2019. Its main topics are deep-reinforcement-learning, gym, openai-gym, python.
Source codes for the book "Reinforcement Learning: Theory and Python Implementation"
rl-book is an open-source project.
Yes. rl-book is free and open source — you can use, modify and self-host it.
rl-book is written mainly in HTML.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/zhiqingxiao-rl-book.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.