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AAAI
2006
14 years 11 months ago
Exploring GnuGo's Evaluation Function with a SVM
While computers have defeated the best human players in many classic board games, progress in Go remains elusive. The large branching factor in the game makes traditional adversar...
Christopher Fellows, Yuri Malitsky, Gregory Wojtas...
CEC
2011
IEEE
13 years 9 months ago
Ms Pac-Man versus Ghost Team CEC 2011 competition
—Games provide an ideal test bed for computational intelligence and significant progress has been made in recent years, most notably in games such as GO, where the level of play...
Philipp Rohlfshagen, Simon M. Lucas
CHI
2004
ACM
15 years 10 months ago
Using heuristics to evaluate the playability of games
Heuristics have become an accepted and widely used adjunct method of usability evaluation in Internet and software development. This report introduces Heuristic Evaluation for Pla...
Heather Desurvire, Martin Caplan, Jozsef A. Toth
NIPS
1994
14 years 11 months ago
Learning to Play the Game of Chess
This paper presents NeuroChess, a program which learns to play chess from the final outcome of games. NeuroChess learns chess board evaluation functions, represented by artificial...
Sebastian Thrun
81
Voted
NIPS
1993
14 years 11 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...