Title: PROGRESSIVE STRATEGIES FOR MONTE-CARLO TREE SEARCH
Abstract: Information Sciences 2007, pp. 655-661 (2007) No AccessPROGRESSIVE STRATEGIES FOR MONTE-CARLO TREE SEARCHG.M.J.B. CHASLOT, M.H.M. WINANDS, J.W.H.M. UITERWIJK, H.J. VAN DEN HERIK, and B. BOUZYG.M.J.B. CHASLOTMICC-IKAT Games and AI Group, Faculty of Humanities and Sciences, Universiteit Maastricht, P.O. Box 616, 6200 MD Maastricht, The Netherlands, M.H.M. WINANDSMICC-IKAT Games and AI Group, Faculty of Humanities and Sciences, Universiteit Maastricht, P.O. Box 616, 6200 MD Maastricht, The Netherlands, J.W.H.M. UITERWIJKMICC-IKAT Games and AI Group, Faculty of Humanities and Sciences, Universiteit Maastricht, P.O. Box 616, 6200 MD Maastricht, The Netherlands, H.J. VAN DEN HERIKMICC-IKAT Games and AI Group, Faculty of Humanities and Sciences, Universiteit Maastricht, P.O. Box 616, 6200 MD Maastricht, The Netherlands, and B. BOUZYCentre de Recherche en Informatique de Paris 5, Universite Paris 5 Descartes, 45, rue des Saints Pueres, 75270 Cedex 06, Francehttps://doi.org/10.1142/9789812709677_0246Cited by:45 PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail Abstract: No abstract received. FiguresReferencesRelatedDetailsCited By 45Adaptive Stress Testing of Trajectory Predictions in Flight Management SystemsRobert J. Moss, Ritchie Lee, Nicholas Visser, Joachim Hochwarth and James G. Lopez et al.11 Oct 2020Monte Carlo Tree Search with Variable Simulation Periods for Continuously Running TasksSeydou Ba, Takuya Hiraoka, Takashi Onishi, Toru Nakata and Yoshimasa Tsuruoka1 Nov 2019Rinascimento: Optimising Statistical Forward Planning Agents for Playing SplendorIvan Bravi, Diego Perez-Liebana, Simon M. 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Publication Year: 2007
Publication Date: 2007-07-01
Language: en
Type: book-chapter
Indexed In: ['crossref']
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Cited By Count: 71
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