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» Move-Pruning Techniques for Monte-Carlo Go
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DATE
2008
IEEE
112views Hardware» more  DATE 2008»
14 years 25 days ago
Adaptive Simulation for Single-Electron Devices
Single-electron devices have drawn much attention in the last two decades. They have been widely used for device research and also show promise as a potential alternative to compl...
Nicholas Allec, Robert G. Knobel, Li Shang
ICGA
2007
157views Optimization» more  ICGA 2007»
13 years 6 months ago
Computing "Elo Ratings" of Move Patterns in the Game of Go
Abstract. Move patterns are an essential method to incorporate domain knowledge into Go-playing programs. This paper presents a new Bayesian technique for supervised learning of su...
Rémi Coulom
AAAI
2008
13 years 8 months ago
Simulation-Based Approach to General Game Playing
The aim of General Game Playing (GGP) is to create intelligent agents that automatically learn how to play many different games at an expert level without any human intervention. ...
Hilmar Finnsson, Yngvi Björnsson
ICML
2007
IEEE
14 years 7 months ago
Combining online and offline knowledge in UCT
The UCT algorithm learns a value function online using sample-based search. The TD() algorithm can learn a value function offline for the on-policy distribution. We consider three...
Sylvain Gelly, David Silver
CDC
2009
IEEE
173views Control Systems» more  CDC 2009»
13 years 11 months ago
Sequentially updated Probability Collectives
— Multi-agent coordination problems can be cast as distributed optimization tasks. Probability Collectives (PCs) are techniques that deal with such problems in discrete and conti...
Michalis Smyrnakis, David S. Leslie