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001440396 001__ 1440396
001440396 003__ OCoLC
001440396 005__ 20230309004601.0
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001440396 019__ $$a1287774469$$a1292518962
001440396 020__ $$a9783030894535$$q(electronic bk.)
001440396 020__ $$a3030894533$$q(electronic bk.)
001440396 020__ $$z9783030894528
001440396 0247_ $$a10.1007/978-3-030-89453-5$$2doi
001440396 035__ $$aSP(OCoLC)1277185412
001440396 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dOCLCF$$dDCT$$dOCLCO$$dDKU$$dOCLCO$$dOCLCQ$$dCOM$$dOCLCO$$dUKAHL$$dOCLCQ
001440396 049__ $$aISEA
001440396 050_4 $$aQA298
001440396 08204 $$a518/.282$$223
001440396 1112_ $$aMCS (Workshop : Monte Carlo)$$n(1st :$$d2020 :$$cOnline)
001440396 24510 $$aMonte Carlo Search :$$bfirst workshop, MCS 2020, held in conjunction with IJCAI 2020, virtual event, January 7, 2021, Proceedings /$$cTristan Cazenave, Olivier Teytaud, Mark H.M. Winands (eds.).
001440396 2463_ $$aMCS 2020
001440396 264_1 $$aCham, Switzerland :$$bSpringer,$$c2021.
001440396 300__ $$a1 online resource (ix, 141 pages) :$$billustrations (some color)
001440396 336__ $$atext$$btxt$$2rdacontent
001440396 337__ $$acomputer$$bc$$2rdamedia
001440396 338__ $$aonline resource$$bcr$$2rdacarrier
001440396 347__ $$atext file
001440396 347__ $$bPDF
001440396 4901_ $$aCommunications in computer and information science,$$x1865-0937 ;$$v1379
001440396 500__ $$aIncludes author index.
001440396 5050_ $$aThe Search Algorithm for the Game of Bridge -- Stabilized Nested Rollout Policy Adaptation -- zoNNscan: A Boundary-Entropy Index for Zone Inspection of Neural Models -- Ordinal Monte Carlo Tree Search -- Monte Carlo Game Solver -- Generalized Nested Rollout Policy Adaptation -- Monte Carlo Inverse Folding -- Monte Carlo Graph Coloring -- Enhancing Playout Policy Adaptation for General Game Playing.
001440396 506__ $$aAccess limited to authorized users.
001440396 520__ $$aThis book constitutes the refereed proceedings of the First Workshop on Monte Carlo Search, MCS 2020, organized in conjunction with IJCAI 2020. The event was supposed to take place in Yokohama, Japan, in July 2020, but due to the Covid-19 pandemic was held virtually on January 7, 2021. The 9 full papers of the specialized project were carefully reviewed and selected from 15 submissions. The following topics are covered in the contributions: discrete mathematics in computer science, games, optimization, search algorithms, Monte Carlo methods, neural networks, reinforcement learning, machine learning.
001440396 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 19, 2021).
001440396 650_0 $$aMonte Carlo method$$xData processing$$vCongresses.
001440396 650_6 $$aMéthode de Monte-Carlo$$xInformatique$$vCongrès.
001440396 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001440396 655_7 $$aConference papers and proceedings.$$2lcgft
001440396 655_7 $$aActes de congrès.$$2rvmgf
001440396 655_0 $$aElectronic books.
001440396 7001_ $$aCazenave, Tristan,$$eeditor.
001440396 7001_ $$aTeytaud, Olivier,$$eeditor.
001440396 7001_ $$aWinands, Mark H. M.,$$d1978-$$eeditor.
001440396 7112_ $$aInternational Joint Conference on Artificial Intelligence$$n(29th :$$d2020 :$$cOnline),$$jjointly held conference.
001440396 77608 $$iPrint version: $$z9783030894528
001440396 77608 $$iPrint version: $$z9783030894542
001440396 830_0 $$aCommunications in computer and information science ;$$v1379.$$x1865-0937
001440396 852__ $$bebk
001440396 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-89453-5$$zOnline Access$$91397441.1
001440396 909CO $$ooai:library.usi.edu:1440396$$pGLOBAL_SET
001440396 980__ $$aBIB
001440396 980__ $$aEBOOK
001440396 982__ $$aEbook
001440396 983__ $$aOnline
001440396 994__ $$a92$$bISE