Algorithms for Decision Making (MIT Press)
Friday, 19 August 2022

This book provides a broad introduction to algorithms for decision making under uncertainty, covering the underlying mathematical problem formulations and the algorithms for solving them. Mykel Kochenderfer and Tim Wheeler first address the problem of reasoning about uncertainty and objectives in simple decisions at a single point in time, and then turn to sequential decision problems in stochastic environments where the outcomes of our actions are uncertain.

The book goes on to address model uncertainty, when we do not start with a known model and must learn how to act through interaction with the environment; state uncertainty, in which we do not know the current state of the environment due to imperfect perceptual information; and decision contexts involving multiple agents. The book focuses primarily on planning and reinforcement learning, although some of the techniques presented draw on elements of supervised learning and optimization. Algorithms are implemented in Julia.

Author: Mykel Kochenderfer and Tim Wheeler
Publisher: MIT Press
Date: August 2022
Pages: 700
ISBN: 978-0262047012
Print: 0262047012
Kindle: B09RF2WCQS
Audience: General
Level: Intermediate/Advanced
Category: Theory & Techniques 

 

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Wild West To Agile (Addison-Wesley)

Author: Jim Highsmith
Publisher: Addison-Wesley
Pages: 304
ISBN: 978-0137961009
Print: 0137961006
Kindle: B0BXWP88KP
Audience: Adherents of Agile methodology
Rating: 4.5
Reviewer: Alex Denham

The subtitle of this book is Adventures in Software Development Evolution and Revolution and it is personal reminin [ ... ]



Software Mistakes and Tradeoffs (Manning)

Author: Tomasz Lelek and Jon Skeet
Publisher: Manning
Date: June 2022
Pages: 426
ISBN: 978-1617299209
Print: 1617299200
Audience: C# developers
Rating: 4
Reviewer: Mike James
We all make mistakes - do you want to read about them?


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