Connectionist learning of expert preferences by comparison training
Advances in neural information processing systems 1
Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Temporal difference learning and TD-Gammon
Communications of the ACM
Best-first fixed-depth minimax algorithms
Artificial Intelligence
Learning to Predict by the Methods of Temporal Differences
Machine Learning
Neural Computation
Machine learning in games: a survey
Machines that learn to play games
Comparison training of chess evaluation functions
Machines that learn to play games
Feature construction for game playing
Machines that learn to play games
Automatic Feature Generation for Problem Solving Systems
ML '92 Proceedings of the Ninth International Workshop on Machine Learning
KnightCap: A Chess Programm That Learns by Combining TD(lambda) with Game-Tree Search
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Approximation Via Value Unification
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
Practical Heterogeneous Placeholder Scheduling in Overlay Metacomputers: Early Experiences
JSSPP '02 Revised Papers from the 8th International Workshop on Job Scheduling Strategies for Parallel Processing
Data perturbation for escaping local maxima in learning
Eighteenth national conference on Artificial intelligence
EL: An Evaluation Function Learner That Constructs Its Own Features TITLE2:
EL: An Evaluation Function Learner That Constructs Its Own Features TITLE2:
A statistical study of selective min-max search in computer chess
A statistical study of selective min-max search in computer chess
Statistical feature combination for the evaluation of game positions
Journal of Artificial Intelligence Research
Temporal difference learning applied to a high-performance game-playing program
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Evolving an expert checkers playing program without using humanexpertise
IEEE Transactions on Evolutionary Computation
Evolving neural networks to play checkers without relying on expert knowledge
IEEE Transactions on Neural Networks
Computer recognition of aesthetics in a zero-sum perfect information game
AIKED'08 Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases
Advanced computer recognition of aesthetics in the game of chess
WSEAS Transactions on Computers
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We present an algorithm that determines the outcome of an arbitrary Hex game-state by finding a winning virtual connection for the winning player. Our algorithm recursively searches the game-tree, combining fixed and dynamic game-state virtual connection ...