عنوان

Simulation-Based Algorithms for Markov Decision Processe

شابک

9781447150220

کد کشور

IR

شماره

EN-57573

زبان متن نوشتاري يا گفتاري و مانند آن

انگلیسی

کشور محل نشر

IR

عنوان اصلي

Simulation-Based Algorithms for Markov Decision Processe

نام عام مواد

[Book]

نام نخستين پديدآور

/ by Hyeong Soo Chang, Jiaqiao Hu, Michael C. Fu, Steven I. Marcus

وضعيت ويراست

2nd ed. 2013.

محل نشرو پخش و غیره

London

نام ناشر، پخش کننده و غيره

: Springer London :Imprint: Springer,

تاریخ نشرو بخش و غیره

, 2013.

نام خاص و کميت اثر

XVII, 229 p. 29 illus., 1 illus. in color., online resource.

عنوان فروست

(Communications and Control Engineering,0178-5354)

متن يادداشت

Electronic

متن يادداشت

Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences. Many real-world problems modeled by MDPs have huge state and/or action spaces, giving an opening to the curse of dimensionality and so making practical solution of the resulting models intractable. In other cases, the system of interest is too complex to allow explicit specification of some of the MDP model parameters, but simulation samples are readily available (e.g., for random transitions and costs). For these settings, various sampling and population-based algorithms have been developed to overcome the difficulties of computing an optimal solution in terms of a policy and/or value function. Specific approaches include adaptive sampling, evolutionary policy iteration, evolutionary random policy search, and model reference adaptive search. This substantially enlarged new edition reflects the latest developments in novel algorithms and their underpinning theories, and presents an updated account of the topics that have emerged since the publication of the first edition. Includes: . innovative material on MDPs, both in constrained settings and with uncertain transition properties; . game-theoretic method for solving MDPs; . theories for developing roll-out based algorithms; and . details of approximation stochastic annealing, a population-based on-line simulation-based algorithm. The self-contained approach of this book will appeal not only to researchers in MDPs, stochastic modeling, and control, and simulation but will be a valuable source of tuition and reference for students of control and operations research. The Communications and Control Engineering series reports major technological advances which have potential for great impact in the fields of communication and control. It reflects research in industrial and academic institutions around the world so that the readership can exploit new possibilities as they become available.

متن يادداشت

Markov Decision Processes -- Multi-stage Adaptive Sampling Algorithms -- Population-based Evolutionary Approaches -- Model Reference Adaptive Search -- On-line Control Methods via Simulation -- Game-theoretic Methods via Simulation.

عنوان

Communications and Control Engineering,0178-5354

موضوع مستند نشده

Engineering

موضوع مستند نشده

Computer software

موضوع مستند نشده

Systems theory

موضوع مستند نشده

Distribution (Probability theory)

موضوع مستند نشده

Operations research

موضوع مستند نشده

Electronic books

شماره رده

مستند نام اشخاص تاييد نشده

Chang, Hyeong Soo.

مستند نام اشخاص تاييد نشده

Hu, Jiaqiao

مستند نام اشخاص تاييد نشده

Fu, Michael C

مستند نام اشخاص تاييد نشده

Marcus, Steven I

مستند نام اشخاص تاييد نشده

SpringerLink (Online service)

کشور

ایران

نام ميزبان

9781447150213.pdf

شماره دسترسي

عادی

اطلاعات مختصر

عادی

تاريخ و ساعت مذاکره و دسترسي

9781447150213.pdf

نوع فرمت الکترونيکي

متن

وضعیت فهرست نویسی

old catalog

فرمت انتشار

e

نوع ماده

BL

پیشوند ISBD اعمال شده است

1

سطح دسترسي

a

تكميل شده

Y