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ICML
2009
IEEE
14 years 7 months ago
Monte-Carlo simulation balancing
In this paper we introduce the first algorithms for efficiently learning a simulation policy for Monte-Carlo search. Our main idea is to optimise the balance of a simulation polic...
David Silver, Gerald Tesauro
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
CG
2008
Springer
13 years 8 months ago
A Parallel Monte-Carlo Tree Search Algorithm
Monte-Carlo tree search is a powerful paradigm for the game of Go. We present a parallel Master-Slave algorithm for Monte-Carlo tree search. We experimented the algorithm on a netw...
Tristan Cazenave, Nicolas Jouandeau
DATE
2008
IEEE
112views Hardware» more  DATE 2008»
14 years 1 months 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
JORS
2010
189views more  JORS 2010»
13 years 1 months ago
Monte Carlo scenario generation for retail loan portfolios
Monte Carlo simulation is a common method for studying the volatility of market traded instruments. It is less employed in retail lending, because of the inherent nonlinearities in...
J. L. Breeden, D. Ingram