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View Code? Open in Web Editor NEWReinforcement learning resources curated
Home Page: http://aikorea.org/awesome-rl
Reinforcement learning resources curated
Home Page: http://aikorea.org/awesome-rl
Under Codes, bullet point Books link below is broken
http://webdocs.cs.ualberta.ca/~sutton/book/ebook/the-book.html
BeliefBox is not a Bayesian RL library.
From Christos Dimitrakakis's website, it is a statistical inference and decision making toolbox.
I quickly skimmed through it and could not find any Bayesian RL method implemented (QLearning, BEETLE, GPTD, ...).
Add
A Free course in Deep Reinforcement Learning from beginner to expert
https://simoninithomas.github.io/Deep_reinforcement_learning_Course/
Hi,
There is a new environment for artificial agent interacting with Websites, and I think it should be added to the environment:
Mini World of Bits ("MiniWoB") is a benchmark for reinforcement learning agents who interact with websites. Here are the related resources that I found:
can you please update the links for awesome-rnn and other pages you have. Thanks for maintaining the curated list
"Short introduction to some Reinforcement Learning algorithms" link is broken.
Please replace with the link below.
https://sites.ualberta.ca/~szepesva/papers/RLAlgsInMDPs.pdf
The publication year must be 2001 instead of 2011 (refer to line 166)
- Autonomous helicopter control using Reinforcement Learning Policy Search Methods (Bagnell, ICRA 2001)
Hi,
I'm taking the course RL instructed by Sutton this term. However I find there is only matlab and lisp code available and both are out-of-date and incomplete. So I'm trying to replicate all the examples for the in-progress second edition of the book in python. I have done with all the examples from chapter 1 to chapter 6 and I will complete all the chapters by the end of this term (Dec 2016). My python code is here: https://github.com/ShangtongZhang/reinforcement-learning-an-introduction.
All codes are neat and well documented. Would you like to add my code to this awesome list?
Thanks
Richard Sutton's google drive containing lectures, videos, code, additional reading material, exams, assignments etc. It's a very comprehensive resource.
Richard Sutton's public google drive
The latest draft of the RL book
Reinforcement Learning: An Introduction March 22, 2018
Implementation of different chapters for RL. Good for exercises and in-depth understanding of concepts
dennybritz GitHub page
An Introduction to Deep Reinforcement Learning
https://arxiv.org/pdf/1811.12560.pdf
Hello, I have been reading the PRGLight source code recently. Can I communicate with you? This is my Wechat: Ljw_36
Richard Sutton and Andrew Barto, Reinforcement Learning: An Introduction (2nd Edition, in progress, 2018) can now point to
http://incompleteideas.net/book/bookdraft2018mar11.pdf
instead of
http://incompleteideas.net/book/bookdraft2018jan1.pdf
cheers!
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