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GECCO
2003
Springer
14 years 2 months ago
Reinforcement Learning Estimation of Distribution Algorithm
Abstract. This paper proposes an algorithm for combinatorial optimizations that uses reinforcement learning and estimation of joint probability distribution of promising solutions ...
Topon Kumar Paul, Hitoshi Iba
CHI
2002
ACM
14 years 9 months ago
Characterizing instant messaging from recorded logs
Most studies about instant messaging (IM) are based on self-report data. We logged thousands of real IM conversations and examined them to find characteristic patterns of IM use i...
Ellen Isaacs, Candace A. Kamm, Diane J. Schiano, A...
ICML
2009
IEEE
14 years 9 months ago
Exploiting sparse Markov and covariance structure in multiresolution models
We consider Gaussian multiresolution (MR) models in which coarser, hidden variables serve to capture statistical dependencies among the finest scale variables. Tree-structured MR ...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
ALT
2010
Springer
13 years 10 months ago
Inferring Social Networks from Outbreaks
We consider the problem of inferring the most likely social network given connectivity constraints imposed by observations of outbreaks within the network. Given a set of vertices ...
Dana Angluin, James Aspnes, Lev Reyzin

Publication
240views
12 years 7 months ago
Bayesian multitask inverse reinforcement learning
We generalise the problem of inverse reinforcement learning to multiple tasks, from multiple demonstrations. Each one may represent one expert trying to solve a different task, or ...
Christos Dimitrakakis, Constantin A. Rothkopf