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CIG
2006
IEEE
13 years 11 months ago
Monte-Carlo Go Reinforcement Learning Experiments
Abstract— This paper describes experiments using reinforcement learning techniques to compute pattern urgencies used during simulations performed in a Monte-Carlo Go architecture...
Bruno Bouzy, Guillaume Chaslot
SAC
2008
ACM
13 years 5 months ago
Adaptive methods for sequential importance sampling with application to state space models
Abstract. In this paper we discuss new adaptive proposal strategies for sequential Monte Carlo algorithms--also known as particle filters--relying on new criteria evaluating the qu...
Julien Cornebise, Eric Moulines, Jimmy Olsson
ACG
2006
Springer
13 years 11 months ago
Solving Probabilistic Combinatorial Games
Probabilistic combinatorial games (PCG) are a model for Go-like games recently introduced by Ken Chen. They differ from normal combinatorial games since terminal position in each ...
Ling Zhao, Martin Müller 0003
DATE
2008
IEEE
76views Hardware» more  DATE 2008»
13 years 12 months ago
Signal Probability Based Statistical Timing Analysis
VLSI timing analysis and power estimation target the same circuit switching activity. Power estimation techniques are categorized as (1) static, (2) statistical, and (3) simulatio...
Bao Liu
CAV
2004
Springer
202views Hardware» more  CAV 2004»
13 years 11 months ago
Statistical Model Checking of Black-Box Probabilistic Systems
Abstract. We propose a new statistical approach to analyzing stochastic systems against specifications given in a sublogic of continuous stochastic logic (CSL). Unlike past numeri...
Koushik Sen, Mahesh Viswanathan, Gul Agha