Learning search decisions

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[1]  A. Bernstein,et al.  A chess playing program for the IBM 704 , 1899, IRE-ACM-AIEE '58 (Western).

[2]  Selim G. Akl,et al.  The principal continuation and the killer heuristic , 1977, ACM '77.

[3]  David E. Wilkins,et al.  Using Knowledge to Control Tree Searching , 1982, Artif. Intell..

[4]  Jonathan Schaeffer The History Heuristic , 1983, J. Int. Comput. Games Assoc..

[5]  Robert M. Hyatt,et al.  Using Time Wisely , 1984, J. Int. Comput. Games Assoc..

[6]  T. A. Marsland,et al.  A Review of Game-Tree Pruning , 1986, J. Int. Comput. Games Assoc..

[7]  P W Frey,et al.  Algorithmic strategies for improving the performance of game-playing programs , 1986 .

[8]  S. Martello,et al.  Algorithms for Knapsack Problems , 1987 .

[9]  Gerald Tesauro,et al.  Connectionist Learning of Expert Preferences by Comparison Training , 1988, NIPS.

[10]  Steven Minton,et al.  Learning search control knowledge , 1988 .

[11]  David A. McAllester Conspiracy Numbers for Min-Max Search , 1988, Artif. Intell..

[12]  Sanjoy Mahajan,et al.  A Pattern Classification Approach to Evaluation Function Learning , 1988, Artif. Intell..

[13]  Robert Levinson,et al.  A Self-Learning, Pattern-Oriented Chess Program , 1989, J. Int. Comput. Games Assoc..

[14]  Jonathan Schaeffer,et al.  The History Heuristic and Alpha-Beta Search Enhancements in Practice , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[15]  David N. L. Levy,et al.  The Sex Algorithm in Computer Chess , 1989, J. Int. Comput. Games Assoc..

[16]  T. Scherzer,et al.  Learning in Bebe , 1990 .

[17]  Fred Glover,et al.  Tabu Search - Part II , 1989, INFORMS J. Comput..

[18]  Herbert D. Enderton The Golem Go Program , 1991 .

[19]  Stuart J. Russell,et al.  Do the right thing - studies in limited rationality , 1991 .

[20]  Paul E. Utgoff,et al.  Automatic Feature Generation for Problem Solving Systems , 1992, ML.

[21]  Jos W. H. M. Uiterwijk The Countermove Heuristic , 1992, J. Int. Comput. Games Assoc..

[22]  Shaul Markovitch,et al.  LEARNING OF RESOURCE ALLOCATION STRATEGIES FOR GAME PLAYING , 1993, IJCAI.

[23]  Christian Donninger,et al.  Null Move and Deep Search , 1993, J. Int. Comput. Games Assoc..

[24]  Tai-Ming Parng,et al.  The Guard Heuristic: Legal Move Ordering with Forward Game-Tree Pruning , 1993, J. Int. Comput. Games Assoc..

[25]  Eduardo Morales,et al.  Learning Patterns for Playing Strategies , 1994, J. Int. Comput. Games Assoc..

[26]  Risto Miikkulainen,et al.  Evolving Neural Networks to Focus Minimax Search , 1994, AAAI.

[27]  Dana S. Nau,et al.  An Analysis of Forward Pruning , 1994, AAAI.

[28]  Risto Miikkulainen,et al.  Learning Sequential Decision Tasks , 1995 .

[29]  Yasser Seirawan The Kasparov - Deep Blue Games , 1996, J. Int. Comput. Games Assoc..

[30]  Shirish Chinchalkar,et al.  An Upper Bound for the Number of Reachable Positions , 1996, J. Int. Comput. Games Assoc..

[31]  M. Alicia Pérez Representing and Learning Quality-Improving Search Control Knowledge , 1996, ICML.

[32]  H. Jaap van den Herik,et al.  Replacement Schemes and Two-Level Tables , 1996, J. Int. Comput. Games Assoc..

[33]  Monty Newborn,et al.  Crafty Goes Deep , 1997, J. Int. Comput. Games Assoc..

[34]  Eric B. Baum,et al.  A Bayesian Approach to Relevance in Game Playing , 1997, Artif. Intell..

[35]  Jonathan Schaeffer,et al.  Kasparov versus Deep Blue: The Rematch , 1997, J. Int. Comput. Games Assoc..

[36]  Guy Haworth,et al.  Chess Endgames and Neural Networks , 1998, J. Int. Comput. Games Assoc..

[37]  Saïd Hanafi,et al.  An efficient tabu search approach for the 0-1 multidimensional knapsack problem , 1998, Eur. J. Oper. Res..

[38]  Shigenobu Kobayashi,et al.  An Analysis of Actor/Critic Algorithms Using Eligibility Traces: Reinforcement Learning with Imperfect Value Function , 1998, ICML.

[39]  Andrew Tridgell,et al.  Experiments in Parameter Learning Using Temporal Differences , 1998, J. Int. Comput. Games Assoc..

[40]  T. Anthony Marsland,et al.  Multi-cut Pruning in Alpha-Beta Search , 1998, Computers and Games.

[41]  Doina Precup,et al.  Constructive Function Approximation , 1998 .

[42]  Ernst A. Heinz Extended Futility Pruning , 1998, J. Int. Comput. Games Assoc..

[43]  Robert M. Hyatt,et al.  Rotated Bitmaps, a New Twist on an Old Idea , 1999, J. Int. Comput. Games Assoc..

[44]  David A. Bell,et al.  A Pattern-Oriented Approach to Move Ordering: The Chessmaps Heuristic , 1999, J. Int. Comput. Games Assoc..

[45]  Daishi Harada,et al.  Extended abstract: Learning search strategies , 1999 .

[46]  John N. Tsitsiklis,et al.  Actor-Critic Algorithms , 1999, NIPS.

[47]  Ernst A. Heinz Adaptive Null-Move Pruning , 1999, J. Int. Comput. Games Assoc..

[48]  Robert M. Hyatt,et al.  Book Learning - a Methodology to Tune an Opening Book Automatically , 1999, J. Int. Comput. Games Assoc..

[49]  Michael Buro Toward Opening Book Learning , 1999, J. Int. Comput. Games Assoc..

[50]  Yishay Mansour,et al.  Policy Gradient Methods for Reinforcement Learning with Function Approximation , 1999, NIPS.

[51]  Murray Campbell,et al.  Knowledge discovery in deep blue , 1999, Commun. ACM.

[52]  David B. Fogel,et al.  Co-evolving checkers-playing programs using only win, lose, or draw , 1999, Defense, Security, and Sensing.

[53]  Jack van Rijswijck,et al.  Learning from Perfection. A Data Mining Approach to Evaluation Function Learning in Awari , 2000, Computers and Games.

[54]  H. Jaap van den Herik,et al.  Learning Time Allocation Using Neural Networks , 2000, Computers and Games.

[55]  Jonathan Schaeffer,et al.  The games computers (and people) play , 2000, Adv. Comput..

[56]  Thomas R. Lincke,et al.  Strategies for the Automatic Construction of Opening Books , 2000, Computers and Games.

[57]  H. Jaap van den Herik,et al.  Move Ordering Using Neural Networks , 2001, IEA/AIE.

[58]  Jonathan Schaeffer,et al.  A Gamut of Games , 2001, AI Mag..

[59]  Levente Kocsis,et al.  Search-independent forward pruning , 2001 .

[60]  Johannes Fürnkranz,et al.  Machine learning in games: a survey , 2001 .

[61]  H. Jaap van den Herik,et al.  The Quad Heuristic in Lines of Action , 2001, J. Int. Comput. Games Assoc..

[62]  Susan L. Epstein Learning to play expertly: a tutorial on Hoyle , 2001 .

[63]  H. Jaap van den Herik,et al.  Learning in Lines of Action , 2002, GAME-ON.

[64]  T. Anthony Marsland,et al.  Learning Control of Search Extensions , 2002, JCIS.

[65]  Brian Sheppard,et al.  World-championship-caliber Scrabble , 2002, Artif. Intell..

[66]  Eric O. Postma,et al.  Local Move Prediction in Go , 2002, Computers and Games.

[67]  Tony Marsland,et al.  Selective depth-first game-tree search , 2002 .

[68]  Eric O. Postma,et al.  The Neural MoveMap Heuristic in Chess , 2002, Computers and Games.

[69]  Takashi Chikayama,et al.  Game-tree Search Algorithm based on Realization Probability , 2002, J. Int. Comput. Games Assoc..

[70]  H. Jaap van den Herik,et al.  Games solved: Now and in the future , 2002, Artif. Intell..

[71]  Pedro Isasi Viñuela,et al.  Using genetic programming to learn and improve control knowledge , 2002, Artif. Intell..

[72]  H. Jaap van den Herik,et al.  Two Learning Algorithms for Forward Pruning , 2003, J. Int. Comput. Games Assoc..

[73]  Tom M. Mitchell,et al.  Explanation-Based Generalization: A Unifying View , 1986, Machine Learning.

[74]  Richard S. Sutton,et al.  Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.