000			02962nam a22004335i 4500
999			_c361641 _d361641 _x1
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003			ES-MaUEC
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007			cr nn nnnaamaa
008			211015s2021 sz | s |||| 0|eng d
020			_a9783030894535
024	7		_a10.1007/978-3-030-89453-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA298 _b2021 EB
245	1	0	_aMonte Carlo Search _bFirst Workshop, MCS 2020, Held in Conjunction with IJCAI 2020, Virtual Event, January 7, 2021, Proceedings _cedited by Tristan Cazenave, Olivier Teytaud, Mark H. M. Winands.
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Publising _c2021
300			_a1 recurso en línea (IX, 141 páginas) _b36 ilustraciones, 14 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aCommunications in Computer and Information Science _x1865-0937 _v1379
490	0		_aComputer Science (SpringerNature-11645)
490	0		_aComputer Science (R0) (SpringerNature-43710)
505	0		_aThe αµ Search Algorithm for the Game of Bridge -- Stabilized Nested Rollout Policy Adaptation -- zoNNscan: A Boundary-Entropy Index for Zone Inspection of Neural Models -- Ordinal Monte Carlo Tree Search -- Monte Carlo Game Solver -- Generalized Nested Rollout Policy Adaptation -- Monte Carlo Inverse Folding -- Monte Carlo Graph Coloring -- Enhancing Playout Policy Adaptation for General Game Playing.
520	3		_aThis book constitutes the refereed proceedings of the First Workshop on Monte Carlo Search, MCS 2020, organized in conjunction with IJCAI 2020. The event was supposed to take place in Yokohama, Japan, in July 2020, but due to the Covid-19 pandemic was held virtually on January 7, 2021. The 9 full papers of the specialized project were carefully reviewed and selected from 15 submissions. The following topics are covered in the contributions: discrete mathematics in computer science, games, optimization, search algorithms, Monte Carlo methods, neural networks, reinforcement learning, machine learning.
988			_aSpringer_Computer_2021
650		7	_2embne _9681471 _aMétodo de Monte Carlo
700	1		_aCazenave, Tristan _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aTeytaud, Olivier _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aWinands, Mark H. M _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783030894528
776	0	8	_iPrinted edition: _z9783030894542
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-89453-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2022 _dz _eh _zSI