5 Best Reinforcement Learning Books
Goal: Find the best Reinforcement Learning books according to the internet (not just one person's opinion).
Method:
- Search for "best reinforcement learning books" and study the top 5+ pages.
- Add only the books mentioned 2+ times.
- Rank the results neatly here.
5 Best Reinforcement Learning Books
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Reinforcement Learning
An Introduction
by Richard S. Sutton
Algorithms for Reinforcement Learning
by Czaba Szepesvari
Bandit Algorithms
by Tor Lattimore
Decision Making Under Uncertainty
Theory and Application
by Mykel J. Kochenderfer
Neuro-Dynamic Programming
by Dimitri P. Bertsekas
Sources
- 1
Resources for Deep Reinforcement Learning | by Yuxi Li | Medium
medium.com
- 2
30 Best Reinforcement Learning Books of All Time (Updated for 2021)
shortform.com
- 3
The Best Books on Reinforcement Learning
datasciencetexts.com
- 4
What are some (deep) reinforcement learning books for beginners? - Artificial Intelligence Stack Exchange
ai.stackexchange.com
- 5
Best reinforcement learning book
bnbjoint.com
Edited by
Software engineer whose passion for tracking book recommendations from podcasts inspired the creation of MRB.
Lead investor at 3one4 Capital whose startup expertise and love for books helped shaped MRB and its growth.
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