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CG
2010
Springer
13 years 9 months ago
Monte-Carlo Simulation Balancing in Practice
Simulation balancing is a new technique to tune parameters of a playout policy for a Monte-Carlo game-playing program. So far, this algorithm had only been tested in a very artific...
Shih-Chieh Huang, Rémi Coulom, Shun-Shii Li...
ICML
2009
IEEE
14 years 11 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
DATE
2010
IEEE
119views Hardware» more  DATE 2010»
13 years 11 months ago
Practical Monte-Carlo based timing yield estimation of digital circuits
—The advanced sampling and variance reduction techniques as efficient alternatives to the slow crude-MC method have recently been adopted for the analysis of timing yield in dig...
Javid Jaffari, Mohab Anis
FLAIRS
2001
14 years 8 days ago
A Practical Markov Chain Monte Carlo Approach to Decision Problems
Decisionand optimizationproblemsinvolvinggraphsarise in manyareas of artificial intelligence, including probabilistic networks, robot navigation, and network design. Manysuch prob...
Timothy Huang, Yuriy Nevmyvaka
CSE
2012
IEEE
12 years 6 months ago
Accelerating Quantum Monte Carlo Simulations of Real Materials on GPU Clusters
—Continuum quantum Monte Carlo (QMC) has proved to be an invaluable tool for predicting the properties of matter from fundamental principles. By solving the manybody Schr¨odinge...
Kenneth Esler, Jeongnim Kim, David M. Ceperley, Lu...