Markov Decision Processes and Reinforcement Learning

Name: Markov Decision Processes and Reinforcement Learning
Brand: Cambridge University Press
Price: 363.75 AUD
Availability: PreOrder

By: Martin L. Puterman, Timothy C. Y. Chan

Write A Review

Hardcover | 31 August 2026

At a Glance

Format
Hardcover

Hardcover

$363.75

or 4 interest-free payments of $90.94 with

Available: 31st August 2026

Preorder. Will ship when available.

This book offers a comprehensive introduction to Markov decision process and reinforcement learning fundamentals using common mathematical notation and language. Its goal is to provide a solid foundation that enables readers to engage meaningfully with these rapidly evolving fields. Topics covered include finite and infinite horizon models, partially observable models, value function approximation, simulation-based methods, Monte Carlo methods, and Q-learning. Rigorous mathematical concepts and algorithmic developments are supported by numerous worked examples. As an up-to-date successor to Martin L. Puterman's influential 1994 textbook, this volume assumes familiarity with probability, mathematical notation, and proof techniques. It is ideally suited for students, researchers, and professionals in operations research, computer science, engineering, and economics.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $0.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.