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» A New Way to Introduce Knowledge into Reinforcement Learning
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AAAI
2012
13 years 9 months ago
Transportability of Causal Effects: Completeness Results
The study of transportability aims to identify conditions under which causal information learned from experiments can be reused in a different environment where only passive obser...
Elias Bareinboim, Judea Pearl
190
Voted
ICTAI
2010
IEEE
15 years 4 months ago
Combining Mixed Integer Programming and Supervised Learning for Fast Re-planning
We introduce a new plan repair method for problems cast as Mixed Integer Programs. In order to tackle the inherent complexity of these NP-hard problems, our approach relies on the ...
Emmanuel Rachelson, Ala Ben Abbes, Sebastien Dieme...
CE
2005
71views more  CE 2005»
15 years 6 months ago
Teachers' pedagogical designs for technology-supported collective inquiry: A national case study
The aim of the present study was to analyze teachers' pedagogical designs, plans of organized technology-supported, collective student inquiry. Ten teachers in Finland design...
Minna Lakkala, Jiri Lallimo, Kai Hakkarainen
FSS
2008
110views more  FSS 2008»
15 years 6 months ago
Learning valued preference structures for solving classification problems
This paper introduces a new approach to classification which combines pairwise decomposition techniques with ideas and tools from fuzzy preference modeling. More specifically, our...
Eyke Hüllermeier, Klaus Brinker
ICML
2003
IEEE
16 years 4 hour ago
Evolutionary MCMC Sampling and Optimization in Discrete Spaces
The links between genetic algorithms and population-based Markov Chain Monte Carlo (MCMC) methods are explored. Genetic algorithms (GAs) are well-known for their capability to opt...
Malcolm J. A. Strens