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008			210604s2021 sz | s |||| 0|eng d
020			_a9783030769284
024	7		_a10.1007/978-3-030-76928-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA402.37 _b2021 EB
245	0	0	_aModern Trends in Controlled Stochastic Processes : _bTheory and Applications, V.III _cedited by Alexey Piunovskiy, Yi Zhang
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Publishing _c2021
300			_a1 recurso en línea (XII, 356 páginas) _b 67 ilustraciones, 42 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aEmergence Complexity and Computation _x2194-7295 _v41
490	0		_aEngineering (SpringerNature-11647)
490	0		_aEngineering (R0) (SpringerNature-43712)
505	0		_aAverage Cost Markov Decision Processes with Semi-Uniform Feller Transition Probabilities -- First Passage Exponential Optimality Problem for Semi-Markov Decision Processes -- Controlled Random Walk: Conjecture and Counter-Example -- Optimal Stopping Problems for a Family of Continuous-Time Markov Processes -- Control of Continuous-Time Markov Jump Linear Systems with Partial Information.
520	3		_aThis book presents state-of-the-art solution methods and applications of stochastic optimal control. It is a collection of extended papers discussed at the traditional Liverpool workshop on controlled stochastic processes with participants from both the east and the west. New problems are formulated, and progresses of ongoing research are reported. Topics covered in this book include theoretical results and numerical methods for Markov and semi-Markov decision processes, optimal stopping of Markov processes, stochastic games, problems with partial information, optimal filtering, robust control, Q-learning, and self-organizing algorithms. Real-life case studies and applications, e.g., queueing systems, forest management, control of water resources, marketing science, and healthcare, are presented. Scientific researchers and postgraduate students interested in stochastic optimal control,- as well as practitioners will find this book appealing and a valuable reference. .
988			_aSpringer_Engineering_2021
650		7	_2embne _9145606 _aControl, Teoría de
700	1		_aPiunovskiy, Alexey _eeditor literario _4 _4http://id.loc.gov/vocabulary/relators/edt _9682723
700	1		_aZhang, Yi _eeditor literario _4 _4http://id.loc.gov/vocabulary/relators/edt _9682724
776	0	8	_iPrinted edition: _z9783030769277
776	0	8	_iPrinted edition: _z9783030769291
776	0	8	_iPrinted edition: _z9783030769307
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-76928-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2022 _dz _eIG _zSI