Authors

• Zihan Ding* - Princeton University (zhding[at]mail.ustc.edu.cn)

Abstract

This chapter provides a summary of algorithms and key concepts in (deep) reinforcement learning here. We also try to keep the mathematical notations and terminology consistent with the rest of the book, which can be referred to the section of mathematical notation at the beginning of the book and Chapter 2.

Content

中文版PDF

Citation

To cite this book, please use this bibtex entry:

@incollection{deepRL-chapter20-2020,
 title={Algorithm Cheatsheet},
 chapter={20},
 author={Zihan Ding},
 editor={Hao Dong, Zihan Ding, Shanghang Zhang},
 booktitle={Deep Reinforcement Learning: Fundamentals, Research, and Applications},
 publisher={Springer Nature},
 pages={489-514},
 note={\url{http://www.deepreinforcementlearningbook.org}},
 year={2020}
}

If you find any typos or have suggestions for improving the book, do not hesitate to contact with the corresponding author (name with *).