Reinforcement Learning: An Introduction 2nd Ed (Bradford Book)
Wednesday, 21 November 2018

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 the new edition of this classic book, authors 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. It focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes

<ASIN: 0262039249>

Author: Richard S. Sutton and Andrew G. Barto
Publisher: Bradford Books
Date: November 2018
Pages: 552
ISBN: 978-0262039246
Print: 0262039249
Kindle: B07JN1QFW5
Audience: researchers and developers in AI
Level: Advanced
Category: Artificial Intelligence

 

Algorithms new in this second edition include UCB, Expected Sarsa, and Double Learning. There are new sections on artificial neural networks and the Fourier basis, and expanded treatment of off-policy learning and policy-gradient methods. This new edition also has new chapters on reinforcement learning's relationships to psychology and neuroscience.

 

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Python Programming and Visualization for Scientists 2nd Ed

Author: Alex DeCaria and Grant Petty
Publisher: Sundog Publishing
Pages: 372
ISBN: 978-0972903356
Print: 0972903356
Audience: Scientists wanting to use Python
Rating: 2
Reviewer: Mike James
Visualization - a difficult topic and difficult to see how to explain the ideas in a book.



C++ Programming, 6th Ed (In Easy Steps)

Author: Mike McGrath
Publisher: In Easy Steps
Date: April 2022
Pages: 192
ISBN: 978-1840789713
Print: 1840789719
Kindle: B09V2T9SJD
Audience: Developers wanting to learn C++
Reviewer: Mike James
This is the 6th edition of a slim book on C++. Can you really learn C++ in easy steps?


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