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» Learning to Estimate Potential Territory in the Game of Go
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CG
2004
Springer
13 years 10 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
13 years 6 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
13 years 6 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
13 years 11 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
13 years 10 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