A STRATEGIC METAGAME PLAYER FOR GENERAL CHESS‐LIKE GAMES
暂无分享,去创建一个
[1] Arthur L. Samuel,et al. Some Studies in Machine Learning Using the Game of Checkers , 1967, IBM J. Res. Dev..
[2] A. L. Samuel,et al. Some studies in machine learning using the game of checkers. II: recent progress , 1967 .
[3] M. M. Botvinnik,et al. Computers, Chess and Long-Range Planning , 1970, Heidelberg Science Library.
[4] Hans J. Berliner,et al. Chess as problem solving: the development of a tactics analyzer. , 1975 .
[5] Nils J. Nilsson,et al. Principles of Artificial Intelligence , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] Nicholas V. Findler,et al. A Multi-Strategy Gaming Environment. , 1982 .
[7] David E. Wilkins,et al. Using Knowledge to Control Tree Searching , 1982, Artif. Intell..
[8] Russell M. Church,et al. Plans, goals, and search strategies for the selection of a move in chess , 1983 .
[9] M. A. Bramer. Computer Game - Playing: Theory and Practice , 1983 .
[10] Jack Mostow,et al. A Problem-Solver for Making Advice Operational , 1983, AAAI.
[11] Peter W. Frey,et al. Chess Skill in Man and Machine , 1984, Springer New York.
[12] Richard S. Sutton,et al. Temporal credit assignment in reinforcement learning , 1984 .
[13] R. J. Beynon,et al. Computers , 1985, Comput. Appl. Biosci..
[14] Editors , 1986, Brain Research Bulletin.
[15] Thomas Ellman,et al. Approximate Theory Formation: An Explanation-Based Approach , 1988, AAAI.
[16] Sanjoy Mahajan,et al. A Pattern Classification Approach to Evaluation Function Learning , 1988, Artif. Intell..
[17] Thomas G. Dietterich,et al. A Study of Explanation-Based Methods for , 1989 .
[18] Prasad Tadepalli,et al. Lazy ExplanationBased Learning: A Solution to the Intractable Theory Problem , 1989, IJCAI.
[19] Monty Newborn,et al. How Computers Play Chess , 1990, J. Int. Comput. Games Assoc..
[20] Goals , 1990 .
[21] Ken Chen,et al. Smart game board and go explorer: a study in software and knowledge engineering , 1990, Commun. ACM.
[22] Bruce Abramson,et al. Expected-Outcome: A General Model of Static Evaluation , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[23] Michael Freed,et al. Plan Debugging in an Intentional System , 1991, IJCAI.
[24] Robert Levinson,et al. Adaptive Pattern-Oriented Chess , 1991, AAAI Conference on Artificial Intelligence.
[25] Duane Szafron,et al. REVIVING THE GAME OF CHECKERS , 1991 .
[26] Jon Doyle,et al. Preferential Semantics for Goals , 1991, AAAI.
[27] William Tunstall-Pedoe,et al. Genetic Algorithms Optimizing Evaluation Functions , 1991, J. Int. Comput. Games Assoc..
[28] Paul E. Utgoff,et al. Constructive Induction on Domain Information , 1991, AAAI.
[29] J. P. Callan. Adaptive Case-Based Reasoning , 1991 .
[30] Paul E. Utgoff,et al. Automatic Feature Generation for Problem Solving Systems , 1992, ML.
[31] Alan Bundy,et al. An Adaptation of Proof-Planning to Declarer Play in Bridge , 1992, ECAI.
[32] Jaap van den Herik,et al. Heuristic programming in Artificial Intelligence 3: the third computer olympiad , 1992 .
[33] B. Pell. METAGAME : A New Challenge for Games and Learning , 1992 .
[34] Michael Gherrity,et al. A game-learning machine , 1993 .
[35] Peter J. Angeline,et al. Competitive Environments Evolve Better Solutions for Complex Tasks , 1993, ICGA.
[36] Dana S. Nau,et al. Strategic planning for imperfect-information games , 1993 .
[37] Terrence J. Sejnowski,et al. Temporal Difference Learning of Position Evaluation in the Game of Go , 1993, NIPS.
[38] Manny Rayner,et al. Pragmatic reasoning in bridge , 1993 .
[39] Robert Levinson,et al. MORPH, an Experience-Based Adaptive Chess System , 1993, J. Int. Comput. Games Assoc..
[40] Robert Levinson,et al. DISTANCE: Toward the Unification of Chess Knowledge , 1993, J. Int. Comput. Games Assoc..
[41] James Patrick Callan,et al. Knowledge-based feature generation for inductive learning , 1993 .
[42] Gerald Tesauro,et al. TD-Gammon, a Self-Teaching Backgammon Program, Achieves Master-Level Play , 1994, Neural Computation.
[43] E. Baum,et al. Best Play for Imperfect Players and Game Tree Search; part I - theory , 1995 .
[44] Thomas G. Dietterich. What is machine learning? , 2020, Archives of Disease in Childhood.