Algorithms for Decision Making

Name: Algorithms for Decision Making
Brand: MIT Press Ltd
SKU: 9780262047012
Price: 37816 HUF
Availability: InStock

Szerző: Tim A. Wheeler

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Kötés: Kemény kötésű

Kiadó: MIT Press Ltd

Elérhetőség: Beszállítói készleten alacsony példányszámban

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A broad introduction to algorithms for decision making under uncertainty, introducing the underlying...

Információk a könyvről

Szerző

Tim A. Wheeler

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2022

oldal

704

EAN

9780262047012

ISBN

0262047012

Enbook ID

38965323

Kiadó

MIT Press Ltd

Súly

1256

Méretek

237 x 211 x 39

Teljes leírás

A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them.

Automated decision-making systems or decision-support systems—used in applications that range from aircraft collision avoidance to breast cancer screening—must be designed to account for various sources of uncertainty while carefully balancing multiple objectives. This textbook provides a broad introduction to algorithms for decision making under uncertainty, covering the underlying mathematical problem formulations and the algorithms for solving them.

The book first addresses the problem of reasoning about uncertainty and objectives in simple decisions at a single point in time, and then turns to sequential decision problems in stochastic environments where the outcomes of our actions are uncertain. It 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 the Julia programming language. Figures, examples, and exercises convey the intuition behind the various approaches presented.

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Algorithms for Decision Making

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