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» Learning to Estimate Potential Territory in the Game of Go
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CG
2004
Springer
15 years 5 months ago
Learning to Estimate Potential Territory in the Game of Go
Erik C. D. van der Werf, H. Jaap van den Herik, Jo...
NIPS
2004
15 years 1 months ago
Modelling Uncertainty in the Game of Go
Go is an ancient oriental game whose complexity has defeated attempts to automate it. We suggest using probability in a Bayesian sense to model the uncertainty arising from the va...
David H. Stern, Thore Graepel, David J. C. MacKay
IJCAI
2007
15 years 1 months ago
Reinforcement Learning of Local Shape in the Game of Go
We explore an application to the game of Go of a reinforcement learning approach based on a linear evaluation function and large numbers of binary features. This strategy has prov...
David Silver, Richard S. Sutton, Martin Mülle...
NETGAMES
2006
ACM
15 years 5 months ago
Post-game estimation of game client RTT and hop count distributions
In first person shooter (FPS) games the round trip time (RTT) (delay, or ‘lag’) between a client and server is an important criterion for players when deciding which server to ...
Grenville J. Armitage, Carl Javier, Sebastian Zand...
GECCO
2004
Springer
15 years 5 months ago
Evolving a Roving Eye for Go
Go remains a challenge for artificial intelligence. Currently, most machine learning methods tackle Go by playing on a specific fixed board size, usually smaller than the standa...
Kenneth O. Stanley, Risto Miikkulainen