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» Combining Tactical Search and Monte-Carlo in the Game of Go
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TCIAIG
2010
13 years 5 months ago
Current Frontiers in Computer Go
This paper presents the recent technical advances in Monte-Carlo Tree Search for the Game of Go, shows the many similarities and the rare differences between the current best progr...
Arpad Rimmel, Olivier Teytaud, Chang-Shing Lee, Sh...
ICGA
2007
157views Optimization» more  ICGA 2007»
13 years 10 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
ICML
2007
IEEE
14 years 11 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
CG
2000
Springer
14 years 3 months ago
Lambda-Search in Game Trees - with Application to Go
This paper proposes a new method for searching two-valued (binary) game trees in games like chess or Go. Lambda-search uses null-moves together with different orders of threat-sequ...
Thomas Thomsen
AAAI
2000
14 years 6 days ago
Combining Knowledge and Search to Solve Single-Suit Bridge
In problem solving, it is often important not only to find a solution but also to be able to explain it. We use the game of Bridge to illustrate how tactics, which formalise domai...
Ian Frank, David A. Basin, Alan Bundy