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» Combining Tactical Search and Monte-Carlo in the Game of Go
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TCIAIG
2010
14 years 8 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»
15 years 1 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
16 years 2 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
15 years 5 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
73
Voted
AAAI
2000
15 years 2 months 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