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NIPS
1993
13 years 8 months ago
Temporal Difference Learning of Position Evaluation in the Game of Go
The game of Go has a high branching factor that defeats the tree search approach used in computer chess, and long-range spatiotemporal interactions that make position evaluation e...
Nicol N. Schraudolph, Peter Dayan, Terrence J. Sej...
CONSTRAINTS
1998
62views more  CONSTRAINTS 1998»
13 years 7 months ago
Learning Game-Specific Spatially-Oriented Heuristics
This paper describes an architecture that begins with enough general knowledge to play any board game as a novice, and then shifts its decision-making emphasis to learned, game-sp...
Susan L. Epstein, Jack Gelfand, Esther Lock
MST
2006
104views more  MST 2006»
13 years 7 months ago
Sequencing from Compomers: The Puzzle
The board game FragmindTM poses the following problem: The player has to reconstruct an (unknown) string s over the alphabet . To this end, the game reports the following informati...
Sebastian Böcker
CEC
2005
IEEE
14 years 1 months ago
Coevolution of neural Go players in a cultural environment
Abstract- We present experiments (co)evolving Go players based on artificial neural networks (ANNs) for a 5x5 board. ANN structure and weights are encoded in multi–chromosomal g...
Helmut A. Mayer, Peter Maier
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
13 years 8 months ago
Developing neural structure of two agents that play checkers using cartesian genetic programming
A developmental model of neural network is presented and evaluated in the game of Checkers. The network is developed using cartesian genetic programs (CGP) as genotypes. Two agent...
Gul Muhammad Khan, Julian Francis Miller, David M....