Intelligent for the Game of Go
暂无分享,去创建一个
Olivier Teytaud | Fabien Teytaud | Chang-Shing Lee | Mei-Hui Wang | Arpad Rimmel | Jean-Baptiste Hoock
[1] B. Orgun,et al. HL7 ontology and mobile agents for interoperability in heterogeneous medical information systems , 2006, Comput. Biol. Medicine.
[2] Sylvain Gelly,et al. Modifications of UCT and sequence-like simulations for Monte-Carlo Go , 2007, 2007 IEEE Symposium on Computational Intelligence and Games.
[3] Olivier Teytaud,et al. Bandit-Based Genetic Programming , 2010, EuroGP.
[4] Martin Müller,et al. A Lock-Free Multithreaded Monte-Carlo Tree Search Algorithm , 2009, ACG.
[5] Scott D. Goodwin,et al. Knowledge Generation for Improving Simulations in UCT for General Game Playing , 2008, Australasian Conference on Artificial Intelligence.
[6] Olivier Teytaud,et al. Adding Expert Knowledge and Exploration in Monte-Carlo Tree Search , 2009, ACG.
[7] Olivier Teytaud,et al. Grid Coevolution for Adaptive Simulations: Application to the Building of Opening Books in the Game of Go , 2009, EvoWorkshops.
[8] Steve Jones,et al. Let the games begin , 2003 .
[9] Rémi Coulom,et al. Computing "Elo Ratings" of Move Patterns in the Game of Go , 2007, J. Int. Comput. Games Assoc..
[10] Markus Püschel,et al. Bandit-based optimization on graphs with application to library performance tuning , 2009, ICML '09.
[11] Olivier Teytaud,et al. On the Parallelization of Monte-Carlo planning , 2008, ICINCO 2008.
[12] Matteo Gaeta,et al. Exploring e-Learning Knowledge Through Ontological Memetic Agents , 2010, IEEE Computational Intelligence Magazine.
[13] Chang-Shing Lee,et al. Ontology-based Intelligent Decision Support Agent for CMMI Project Monitoring and Control , 2006, NAFIPS 2006 - 2006 Annual Meeting of the North American Fuzzy Information Processing Society.
[14] Chang-Shing Lee,et al. Ontology-based computational intelligent multi-agent and its application to CMMI assessment , 2009, Applied Intelligence.
[15] Bruno Bouzy,et al. Monte-Carlo strategies for computer Go , 2006 .
[16] Chong-Ching Chang,et al. Ontology-based multi-agents for intelligent healthcare applications , 2010, J. Ambient Intell. Humaniz. Comput..
[17] Csaba Szepesvári,et al. Bandit Based Monte-Carlo Planning , 2006, ECML.
[18] Ikuo Takeuchi,et al. Parallel Monte-Carlo Tree Search with Simulation Servers , 2010, 2010 International Conference on Technologies and Applications of Artificial Intelligence.
[19] David Sánchez,et al. Applying Agent Technology to Healthcare: The GruSMA Experience , 2006, IEEE Intelligent Systems.
[20] Tzung-Pei Hong,et al. The Computational Intelligence of MoGo Revealed in Taiwan's Computer Go Tournaments , 2009, IEEE Transactions on Computational Intelligence and AI in Games.
[21] Michael Lees,et al. Agents, games and HLA , 2006, Simul. Model. Pract. Theory.
[22] Jerry M. Mendel,et al. What Computing With Words Means to Me , 2010 .
[23] Csaba Szepesvári,et al. Empirical Bernstein stopping , 2008, ICML '08.
[24] Rémi Coulom,et al. Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search , 2006, Computers and Games.
[25] Tristan Cazenave,et al. Combining Tactical Search and Monte-Carlo in the Game of Go , 2005, CIG.
[26] H. Jaap van den Herik,et al. Progressive Strategies for Monte-Carlo Tree Search , 2008 .