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» On Conditional Branches in Optimal Decision Trees
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UAI
2003
13 years 6 months ago
Optimal Limited Contingency Planning
For a given problem, the optimal Markov policy over a finite horizon is a conditional plan containing a potentially large number of branches. However, there are applications wher...
Nicolas Meuleau, David E. Smith
ENTCS
2006
134views more  ENTCS 2006»
13 years 4 months ago
Partial Order Reduction for Probabilistic Branching Time
In the past, partial order reduction has been used successfully to combat the state explosion problem in the context of model checking for non-probabilistic systems. For both line...
Christel Baier, Pedro R. D'Argenio, Marcus Grö...
ICML
2005
IEEE
14 years 5 months ago
Bayesian sparse sampling for on-line reward optimization
We present an efficient "sparse sampling" technique for approximating Bayes optimal decision making in reinforcement learning, addressing the well known exploration vers...
Tao Wang, Daniel J. Lizotte, Michael H. Bowling, D...
ENTCS
2008
150views more  ENTCS 2008»
13 years 4 months ago
Analyzing Security Scenarios Using Defence Trees and Answer Set Programming
Defence trees are used to represent attack and defence strategies in security scenarios; the aim in such scenarios is to select the best set of countermeasures that are able to st...
Stefano Bistarelli, Pamela Peretti, Irina Trubitsy...
AAAI
2006
13 years 6 months ago
Estimating Search Tree Size
We propose two new online methods for estimating the size of a backtracking search tree. The first method is based on a weighted sample of the branches visited by chronological ba...
Philip Kilby, John K. Slaney, Sylvie Thiéba...