Reinforcement Learning, second edition

Reinforcement Learning, second edition
Author :
Publisher : MIT Press
Total Pages : 549
Release :
ISBN-10 : 9780262352703
ISBN-13 : 0262352702
Rating : 4/5 (03 Downloads)

Book Synopsis Reinforcement Learning, second edition by : Richard S. Sutton

Download or read book Reinforcement Learning, second edition written by Richard S. Sutton and published by MIT Press. This book was released on 2018-11-13 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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, second edition Related Books

Reinforcement Learning, second edition
Language: en
Pages: 549
Authors: Richard S. Sutton
Categories: Computers
Type: BOOK - Published: 2018-11-13 - Publisher: MIT Press

DOWNLOAD EBOOK

The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intellig
Hands-On Reinforcement Learning with Python
Language: en
Pages: 309
Authors: Sudharsan Ravichandiran
Categories: Computers
Type: BOOK - Published: 2018-06-28 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

A hands-on guide enriched with examples to master deep reinforcement learning algorithms with Python Key Features Your entry point into the world of artificial
Mastering Reinforcement Learning with Python
Language: en
Pages: 544
Authors: Enes Bilgin
Categories: Computers
Type: BOOK - Published: 2020-12-18 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Get hands-on experience in creating state-of-the-art reinforcement learning agents using TensorFlow and RLlib to solve complex real-world business and industry
Reinforcement Learning Algorithms with Python
Language: en
Pages: 356
Authors: Andrea Lonza
Categories: Computers
Type: BOOK - Published: 2019-10-18 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Develop self-learning algorithms and agents using TensorFlow and other Python tools, frameworks, and libraries Key FeaturesLearn, develop, and deploy advanced r
Applied Reinforcement Learning with Python
Language: en
Pages: 177
Authors: Taweh Beysolow II
Categories: Computers
Type: BOOK - Published: 2019-08-23 - Publisher: Apress

DOWNLOAD EBOOK

Delve into the world of reinforcement learning algorithms and apply them to different use-cases via Python. This book covers important topics such as policy gra