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» Heuristics in Monte Carlo Go
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ICGA
2007
157views Optimization» more  ICGA 2007»
13 years 7 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
ACG
2006
Springer
14 years 1 months ago
Solving Probabilistic Combinatorial Games
Probabilistic combinatorial games (PCG) are a model for Go-like games recently introduced by Ken Chen. They differ from normal combinatorial games since terminal position in each ...
Ling Zhao, Martin Müller 0003
WSC
1997
13 years 8 months ago
Weighted Jackknife-after-Bootstrap: A Heuristic Approach
We investigate the problem of deriving precision estimates for bootstrap quantities. The one major stipulation is that no further bootstrapping will be allowed. In 1992, Efron der...
Jin Wang, J. Sunil Rao, Jun Shao
ICML
2007
IEEE
14 years 8 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
WEA
2007
Springer
114views Algorithms» more  WEA 2007»
14 years 1 months ago
Improving Tree Search in Phylogenetic Reconstruction from Genome Rearrangement Data
Abstract. A major task in evolutionary biology is to determine the ancestral relationships among the known species, a process generally referred as phylogenetic reconstruction. In ...
Fei Ye, Yan Guo, Andrew Lawson, Jijun Tang