32 search results - page 6 / 7 » Combining Tactical Search and Monte-Carlo in the Game of Go |
GAMEON
2001
13 years 10 months ago
2001
This paper investigates the application of neural network techniques to the creation of a program that can play the game of Go with some degree of success. The combination of soft...
FLAIRS
2003
13 years 10 months ago
2003
In this paper, we present an experimental methodology and results for a machine learning approach to learning opening strategy in the game of Go, a game for which the best compute...
ACG
2006
Springer
14 years 2 months ago
2006
Springer
Seki is a situation of coexistence in the game of Go, where neither player can profitably capture the opponent’s stones. This paper presents a new method for deciding whether an...
BMCBI
2011
13 years 3 months ago
2011
Background: Molecular database search tools need statistical models to assess the significance for the resulting hits. In the classical approach one asks the question how probable...
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
We present a reinforcement learning architecture, Dyna-2, that encompasses both samplebased learning and sample-based search, and that generalises across states during both learni...