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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Code: The Hidden Language of Computer Hardware and Software 2nd Ed

Top Book 2023
Author: Charles Petzold
Publisher: Microsoft Press
Date: August 2022
Pages: 480
ISBN: 978-0137909100
Print: 0137909101
Kindle: B0B123P5GV
Audience: General
Rating: 5
Reviewer: Mike James
Code! We all need to know about it.



High Performance SQL Server, 2nd Ed (Apress)

Author: Benjamin Nevarez
Publisher: Apress
Pages: 420
ISBN: 978-1484264904
Print: 1484264908
Kindle: B08TQR3NMF
Audience: SQL Server DBAs and Devs
Rating: 4.5
Reviewer: Ian Stirk

This book aims to improve the performance of your SQL Server, how does it fare?


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