Algorithms for Decision Making is popular PDF and ePub book, written by Mykel J. Kochenderfer in 2022-08-16, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Algorithms for Decision Making can be Read Online from any device for your convenience.
Algorithms for Decision Making Book PDF Summary
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.
Detail Book of Algorithms for Decision Making PDF
- Author : Mykel J. Kochenderfer
- Release : 16 August 2022
- Publisher : MIT Press
- ISBN : 9780262047012
- Genre : Computers
- Total Page : 701 pages
- Language : English
- PDF File Size : 16,6 Mb
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