Constrained Markov Decision Processes

Author: Eitan Altman
Publisher: CRC Press
ISBN: 9780849303821
Size: 25.14 MB
Format: PDF
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This book provides a unified approach for the study of constrained Markov decision processes with a finite state space and unbounded costs.

Continuous Time Markov Decision Processes

Author: Xianping Guo
Publisher: Springer Science & Business Media
ISBN: 3642025471
Size: 27.77 MB
Format: PDF, Docs
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This volume provides a unified, systematic, self-contained presentation of recent developments on the theory and applications of continuous-time MDPs.

Planning With Markov Decision Processes

Author: Mausam
Publisher: Morgan & Claypool Publishers
ISBN: 1608458865
Size: 32.69 MB
Format: PDF, Mobi
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This book provides a concise introduction to the use of MDPs for solving probabilistic planning problems, with an emphasis on the algorithmic perspective.

Markov Decision Processes With Their Applications

Author: Qiying Hu
Publisher: Springer Science & Business Media
ISBN: 0387369511
Size: 42.85 MB
Format: PDF
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Put together by two top researchers in the Far East, this text examines Markov Decision Processes - also called stochastic dynamic programming - and their applications in the optimal control of discrete event systems, optimal replacement, ...

Markov Decision Processes And The Belief Desire Intention Model

Author: Gerardo I. Simari
Publisher: Springer Science & Business Media
ISBN: 1461414725
Size: 71.97 MB
Format: PDF, ePub
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In this work, we provide a treatment of the relationship between two models that have been widely used in the implementation of autonomous agents: the Belief DesireIntention (BDI) model and Markov Decision Processes (MDPs).

Competitive Markov Decision Processes

Author: Jerzy Filar
Publisher: Springer Science & Business Media
ISBN: 1461240549
Size: 80.78 MB
Format: PDF, ePub, Mobi
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This book is intended as a text covering the central concepts and techniques of Competitive Markov Decision Processes.

Markov Decision Processes In Practice

Author: Richard J. Boucherie
Publisher: Springer
ISBN: 3319477668
Size: 33.45 MB
Format: PDF
View: 3355
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MDP allows users to develop and formally support approximate and simple decision rules, and this book showcases state-of-the-art applications in which MDP was key to the solution approach. The book is divided into six parts.