Markov Decision Processes In Practice
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Language: en
Pages: 563
Pages: 563
Type: BOOK - Published: 2017-03-10 - Publisher: Springer
This book presents classical Markov Decision Processes (MDP) for real-life applications and optimization. MDP allows users to develop and formally support appro
Language: en
Pages: 367
Pages: 367
Type: BOOK - Published: 2013-03-04 - Publisher: John Wiley & Sons
Markov Decision Processes (MDPs) are a mathematical framework for modeling sequential decision problems under uncertainty as well as reinforcement learning prob
Language: en
Pages: 560
Pages: 560
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media
Eugene A. Feinberg Adam Shwartz This volume deals with the theory of Markov Decision Processes (MDPs) and their applications. Each chapter was written by a lead
Language: en
Pages: 393
Pages: 393
Type: BOOK - Published: 2011-06-06 - Publisher: Springer Science & Business Media
The theory of Markov decision processes focuses on controlled Markov chains in discrete time. The authors establish the theory for general state and action spac
Language: en
Pages: 478
Pages: 478
Type: BOOK - Published: 2016-04-19 - Publisher: CRC Press
Recognized as a powerful tool for dealing with uncertainty, Markov modeling can enhance your ability to analyze complex production and service systems. However,
