Monte Carlo tree search

Results: 62



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11Production of Various Strategies and Position Control for Monte-Carlo Go - Entertaining human players Kokolo Ikeda and Simon Viennot Abstract—Thanks to the continued development of tree search algorithms, of more preci

Production of Various Strategies and Position Control for Monte-Carlo Go - Entertaining human players Kokolo Ikeda and Simon Viennot Abstract—Thanks to the continued development of tree search algorithms, of more preci

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Source URL: eldar.mathstat.uoguelph.ca

- Date: 2016-07-12 12:05:04
    12Monte-Carlo Tree Search for Persona Based Player Modeling Christoffer Holmg˚ard1 , Antonios Liapis2 , Julian Togelius1,3 , Georgios N. Yannakakis1,2 1: Center for Computer Games Research, IT University of Copenhagen, Co

    Monte-Carlo Tree Search for Persona Based Player Modeling Christoffer Holmg˚ard1 , Antonios Liapis2 , Julian Togelius1,3 , Georgios N. Yannakakis1,2 1: Center for Computer Games Research, IT University of Copenhagen, Co

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    Source URL: antoniosliapis.com

    - Date: 2015-08-13 18:18:35
      13Identifying Implementation-Based Testing Techniques for Classes

      Identifying Implementation-Based Testing Techniques for Classes

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      Source URL: www.acisinternational.org

      Language: English - Date: 2016-07-05 22:12:04
      14Online and Offline Learning in Multi-Objective Monte Carlo Tree Search Diego Perez, Spyridon Samothrakis and Simon Lucas School of Computer Science and Electronic Engineering University of Essex, Colchester CO4 3SQ, UK d

      Online and Offline Learning in Multi-Objective Monte Carlo Tree Search Diego Perez, Spyridon Samothrakis and Simon Lucas School of Computer Science and Electronic Engineering University of Essex, Colchester CO4 3SQ, UK d

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      Source URL: eldar.mathstat.uoguelph.ca

      Language: English - Date: 2016-07-12 12:05:04
      15Simulation-Based Approach to General Game Playing Hilmar Finnsson and Yngvi Bj¨ornsson School of Computer Science Reykjav´ık University, Iceland {hif,yngvi}@ru.is

      Simulation-Based Approach to General Game Playing Hilmar Finnsson and Yngvi Bj¨ornsson School of Computer Science Reykjav´ık University, Iceland {hif,yngvi}@ru.is

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      Source URL: ggp.stanford.edu

      Language: English - Date: 2009-04-17 14:29:40
      16Published as a conference paper at ICLRM OVE E VALUATION IN G O U SING D EEP C ONVOLUTIONAL N EURAL N ETWORKS  arXiv:1412.6564v2 [cs.LG] 10 Apr 2015

      Published as a conference paper at ICLRM OVE E VALUATION IN G O U SING D EEP C ONVOLUTIONAL N EURAL N ETWORKS arXiv:1412.6564v2 [cs.LG] 10 Apr 2015

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      Source URL: arxiv.org

      Language: English - Date: 2015-04-12 20:19:23
      17UCT for PCG Cameron Browne Imperial College London South Kensington, UK  Abstract—This paper describes initial experiments in the use

      UCT for PCG Cameron Browne Imperial College London South Kensington, UK Abstract—This paper describes initial experiments in the use

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      Source URL: eldar.mathstat.uoguelph.ca

      Language: English - Date: 2016-07-12 12:05:04
      18Bandit based Monte-Carlo Planning Levente Kocsis and Csaba Szepesv´ari Computer and Automation Research Institute of the Hungarian Academy of Sciences, Kende u, 1111 Budapest, Hungary

      Bandit based Monte-Carlo Planning Levente Kocsis and Csaba Szepesv´ari Computer and Automation Research Institute of the Hungarian Academy of Sciences, Kende u, 1111 Budapest, Hungary

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      Source URL: ggp.stanford.edu

      Language: English - Date: 2009-04-20 18:54:11
      19Bandits all the way down: UCB1 as a simulation policy in Monte Carlo Tree Search Edward J. Powley, Daniel Whitehouse, and Peter I. Cowling Department of Computer Science York Centre for Complex Systems Analysis Universit

      Bandits all the way down: UCB1 as a simulation policy in Monte Carlo Tree Search Edward J. Powley, Daniel Whitehouse, and Peter I. Cowling Department of Computer Science York Centre for Complex Systems Analysis Universit

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      Source URL: eldar.mathstat.uoguelph.ca

      Language: English - Date: 2016-07-12 12:05:04
      20Recursive Monte Carlo Search for Imperfect Information Games Timothy Furtak and Michael Buro University of Alberta, Edmonton, T6G 2E8, Canada Email: {furtak|mburo}@cs.ualberta.ca Abstract—Perfect information Monte Carl

      Recursive Monte Carlo Search for Imperfect Information Games Timothy Furtak and Michael Buro University of Alberta, Edmonton, T6G 2E8, Canada Email: {furtak|mburo}@cs.ualberta.ca Abstract—Perfect information Monte Carl

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      Source URL: eldar.mathstat.uoguelph.ca

      Language: English - Date: 2016-07-12 12:05:04