Reinforcement Learning Foundations
$208.38
- Hardcover
350 pages
- Release Date
31 July 2026
Summary
Bridging the gap between introductory texts and the specialized research literature, this is one of the first truly rigorous yet accessible treatments of modern reinforcement learning. Written by three leading researchers with over a decade of teaching experience, the book uniquely combines mathematical precision with practical insights. It progresses naturally from planning (dynamic programming, MDPs, value and policy iteration) to learning (model-based and model-free algorithms, function ap…
Book Details
| ISBN-13: | 9781009711104 |
|---|---|
| ISBN-10: | 1009711105 |
| Author: | Shie Mannor, Yishay Mansour, Aviv Tamar |
| Publisher: | Cambridge University Press |
| Imprint: | Cambridge University Press |
| Format: | Hardcover |
| Number of Pages: | 350 |
| Release Date: | 31 July 2026 |
You Can Find This Book In
About The Author
Shie Mannor
Shie Mannor
Shie Mannor is a Professor at Technion’s Electrical and Computer Engineering faculty, Chief Scientist and co-founder of Jether Energy Research, Distinguished Scientist at Nvidia, and an IEEE Fellow. A pioneer in reinforcement learning, planning, and control, he bridges theory and practice with over 330 papers and 35,000 citations.
Yishay Mansour
Yishay Mansour is a Professor at the Blavatnik School of Computer Science, Tel Aviv University, and is an ACM Fellow. An early pioneer in machine learning theory, reinforcement learning, algorithmic game theory, and theory of computing at large, he has authored over 300 papers with over 40,000 citations on those topics.
Aviv Tamar
Aviv Tamar is an Associate Professor of Electrical and Computer Engineering at the Technion. He studies how machines learn to act and perceive. His research in reinforcement learning, representation learning, and robotics has led to over 70 publications, 17,000 citations, and multiple best-paper awards and distinctions.
Returns
This item is eligible for free returns within 30 days of delivery. See our returns policy for further details.