Fuego—An Open-Source Framework for Board Games and Go Engine Based on Monte Carlo Tree Search
暂无分享,去创建一个
Martin Müller | Markus Enzenberger | Broderick Arneson | Richard B. Segal | R. Segal | M. Enzenberger | Martin Müller | B. Arneson | R. Segal
[1] E. D. Cope. THE DATE OF PUBLICATION. , 1896, Science.
[2] David B. Benson,et al. Life in the game of Go , 1976 .
[3] Anders Kierulf,et al. Smart Game Board: a workbench for game playing programs, with Go and Othello as case studies , 1990 .
[4] Ralph Gasser,et al. Every Interactive System Evolves into Hyperspace: The Case of the Smart Game Board , 1991, Hypertext/Hypermedia.
[5] Michael Buro,et al. ProbCut: An Effective Selective Extension of the α-β Algorithm , 1995, J. Int. Comput. Games Assoc..
[6] Martin Müller,et al. Computer go as a sum of local games: an application of combinatorial game theory , 1995 .
[7] Michael Buro,et al. ProbCut: An Effective Selective Extension of the alphabeta Algorithm , 1995 .
[8] Martin Mueller,et al. solving 5 × 5 Amazons , 2001 .
[9] Bernhard Nebel,et al. The FF Planning System: Fast Plan Generation Through Heuristic Search , 2011, J. Artif. Intell. Res..
[10] Martin Müller,et al. Computer Go , 2002, Artif. Intell..
[11] Martin Müller. Counting the Score : Position Evaluation in Computer Go , 2002 .
[12] Martin Müller. Position Evaluation in Computer Go , 2002, J. Int. Comput. Games Assoc..
[13] Zhichao Li,et al. Locally Informed Global Search for Sums of Combinatorial Games , 2004, Computers and Games.
[14] Akihiro Kishimoto. Correct and efficient search algorithms in the presence of repetitions , 2005 .
[15] No License,et al. Intel ® 64 and IA-32 Architectures Software Developer ’ s Manual Volume 3 A : System Programming Guide , Part 1 , 2006 .
[16] Olivier Teytaud,et al. Modification of UCT with Patterns in Monte-Carlo Go , 2006 .
[17] Rémi Coulom,et al. Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search , 2006, Computers and Games.
[18] Csaba Szepesvári,et al. Bandit Based Monte-Carlo Planning , 2006, ECML.
[19] David Silver,et al. Combining online and offline knowledge in UCT , 2007, ICML '07.
[20] Richard S. Sutton,et al. Reinforcement Learning of Local Shape in the Game of Go , 2007, IJCAI.
[21] H. Jaap van den Herik,et al. Parallel Monte-Carlo Tree Search , 2008, Computers and Games.
[22] Olivier Teytaud,et al. The Parallelization of Monte-Carlo Planning - Parallelization of MC-Planning , 2008, ICINCO-ICSO.
[23] H. Jaap van den Herik,et al. Computers and Games, 6th International Conference, CG 2008, Beijing, China, September 29 - October 1, 2008. Proceedings , 2008, Computers and Games.
[24] Nicolas Jouandeau,et al. A Parallel Monte-Carlo Tree Search Algorithm , 2008, Computers and Games.
[25] H. Jaap van den Herik,et al. Single-Player Monte-Carlo Tree Search , 2008, Computers and Games.
[26] Yngvi Björnsson,et al. Simulation-Based Approach to General Game Playing , 2008, AAAI.
[27] H. Jaap van den Herik,et al. Progressive Strategies for Monte-Carlo Tree Search , 2008 .
[28] Richard J. Lorentz. Amazons Discover Monte-Carlo , 2008, Computers and Games.
[29] Ryan B. Hayward,et al. Wolve Wins Hex Tournament , 2008 .
[30] Martin Müller,et al. Using Artificial Boundaries in the Game of Go , 2008, Computers and Games.
[31] Nathan R. Sturtevant,et al. An Analysis of UCT in Multi-Player Games , 2008, J. Int. Comput. Games Assoc..
[32] Olivier Teytaud,et al. Creating an Upper-Confidence-Tree Program for Havannah , 2009, ACG.
[33] Yngvi Björnsson,et al. CadiaPlayer: A Simulation-Based General Game Player , 2009, IEEE Transactions on Computational Intelligence and AI in Games.
[34] Markus Püschel,et al. Bandit-based optimization on graphs with application to library performance tuning , 2009, ICML '09.
[35] Olivier Teytaud,et al. Grid Coevolution for Adaptive Simulations: Application to the Building of Opening Books in the Game of Go , 2009, EvoWorkshops.
[36] Martin Müller,et al. A Study of UCT and Its Enhancements in an Artificial Game , 2009, ACG.
[37] Martin Müller,et al. Monte-Carlo Exploration for Deterministic Planning , 2009, IJCAI.
[38] Martin Müller,et al. A Lock-Free Multithreaded Monte-Carlo Tree Search Algorithm , 2009, ACG.
[39] David Silver,et al. Reinforcement learning and simulation-based search in computer go , 2009 .
[40] Olivier Teytaud,et al. Adding Expert Knowledge and Exploration in Monte-Carlo Tree Search , 2009, ACG.
[41] Daisuke Takahashi,et al. A Shogi Program Based on Monte-Carlo Tree Search , 2010, J. Int. Comput. Games Assoc..
[42] H. Jaap van den Herik,et al. Advances in Computer Games, 12th International Conference, ACG 2009, Pamplona, Spain, May 11-13, 2009. Revised Papers , 2010, ACG.
[43] Meaghan Morris,et al. The Many Faces of Tau , 2011, Neuron.
[44] Sandeep Koranne,et al. Boost C++ Libraries , 2011 .
[45] Ryan B. Hayward,et al. MOHEX Wins Hex Tournament , 2012, J. Int. Comput. Games Assoc..