強化学習を学びたい方向けの文献紹介

サーベイ論文&書籍

“Reinforcement Learning: A Survey”
Leslie Pack Kaelbling et al., 1996
URL (PDF)

“Reinforcement Learning: An Introduction” (2nd Edition)
Richard S. Sutton & Andrew G. Barto, MIT Press, Cambridge, MA, 2018
by Prof. Sutton in UAlberta/Deepmind
URL (PDF)

“Algorithms for Reinforcement Learning”
Csaba Szepesvári, Morgan & Claypool Publishers, 2009
by Prof. Szepesvári in UAlberta/Deepmind
URL (PDF)

“An Introduction to Deep Reinforcement Learning”
Joelle Pineau et al., now publishers, 2018
by Prof. Joelle Pineau in McGillU/FacebookAIlab
URL (PDF)

ブログ記事

“A (Long) Peek into Reinforcement Learning” by Lilian Weng (OpenAI) https://lilianweng.github.io/lil-log/2018/02/19/a-long-peek-into-reinforcement-learning.html#key-concepts

“Policy Gradient Algorithms” by Lilian Weng (OpenAI) https://lilianweng.github.io/lil-log/2018/04/08/policy-gradient-algorithms.html#what-is-policy-gradient

“Resources for Deep Reinforcement Learning” by Yuxi Li https://medium.com/@yuxili/resources-for-deep-reinforcement-learning-a5fdf2dc730f

“Awesome Reinforcement Learning” (Github) by Hyunsoo Kim and Jiwon Kim https://github.com/aikorea/awesome-rl

公開されている大学の授業資料

UCL Course on RL
http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html

Deep Reinforcement Learning (CS 294-112 at UC Berkeley)
http://rail.eecs.berkeley.edu/deeprlcourse/

著名な研究者

• Richard S. Sutton
• Andrew Barto
• Leslie Pack Kaelbling
• Jürgen Schmidhuber

その他

“Reinforcement Learning Repository” http://www-anw.cs.umass.edu/rlr/

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