Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)
Authors: Richard S. Sutton – Andrew G. Barto
ISBN-10: 0262039249
ISBN-13: 9780262039246
Edition 版本: second edition
Released: 2018-11-13
Pages: 552 pages
The significantly expanded and updated new edition of a widely used text on reinforcement learning,one of the most active research areas in artificial intelligence.
Reinforcement learning,one of the most active research areas in artificial intelligence,is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex,uncertain environment. In Reinforcement Learning,Richard Sutton and Andrew Barto provide a clear and simple account of the field’s key ideas and algorithms. This second edition has been significantly expanded and updated,presenting new topics and updating coverage of other topics.
Like the first edition,this second edition focuses on core online learning algorithms,with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition,including UCB,Expected Sarsa,and Double Learning. Part II extends these ideas to function approximation,with new sections on such topics as artificial neural networks and the Fourier basis,and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning’s relationships to psychology and neuroscience,as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero,Atari game playing,and IBM Watson’s wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.
Reinforcement Learning An Introduction 2nd Edition
相关推荐
Implementing and Administering Cisco Solutions 200-301 CCNA Exam Guide: Everything you need to pass the 200-301 CCNA v1.1 exam and advance your career as a network engineer, 2nd Edition
Ruby for Beginners, From Fundamentals to Building Full-Stack Applications: The Ultimate Guide to Learning Ruby and Creating Interactive, High-Quality Code
Quantum Computing: From Concepts to Code
Fundamentals of Web Development
Foundations of Decision Analysis (Toronto Academic Press)
Computational Intelligence Algorithms for the Diagnosis of Neurological Disorders