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ECAI
2010
Springer
13 years 8 months ago
Nested Monte-Carlo Expression Discovery
Nested Monte-Carlo search is a general algorithm that gives good results in single player games. Genetic Programming evaluates and combines trees to discover expressions that maxim...
Tristan Cazenave
JC
1998
65views more  JC 1998»
13 years 7 months ago
Monte Carlo Complexity of Global Solution of Integral Equations
The problem of global solution of Fredholm integral equations is studied. This means that one seeks to approximate the full solution function (as opposed to the local problem, whe...
Stefan Heinrich
TCIAIG
2010
13 years 2 months ago
Combining UCT and Nested Monte Carlo Search for Single-Player General Game Playing
Monte-Carlo tree search has recently been very successful for game playing particularly for games where the evaluation of a state is difficult to compute, such as Go or General Gam...
Jean Méhat, Tristan Cazenave
PR
2011
12 years 10 months ago
Generalized darting Monte Carlo
One of the main shortcomings of Markov chain Monte Carlo samplers is their inability to mix between modes of the target distribution. In this paper we show that advance knowledge ...
Cristian Sminchisescu, Max Welling
ICRA
2005
IEEE
150views Robotics» more  ICRA 2005»
14 years 1 months ago
Learning Sensor Network Topology through Monte Carlo Expectation Maximization
— We consider the problem of inferring sensor positions and a topological (i.e. qualitative) map of an environment given a set of cameras with non-overlapping fields of view. In...
Dimitri Marinakis, Gregory Dudek, David J. Fleet