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ICML
2009
IEEE
14 years 10 months ago
Approximate inference for planning in stochastic relational worlds
Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...
Tobias Lang, Marc Toussaint
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
14 years 3 months ago
Evolving controllers for simulated car racing using object oriented genetic programming
Several different controller representations are compared on a non-trivial problem in simulated car racing, with respect to learning speed and final fitness. The controller rep...
Alexandros Agapitos, Julian Togelius, Simon M. Luc...
CSCLP
2007
Springer
14 years 3 months ago
A Global Filtration for Satisfying Goals in Mutual Exclusion Networks
We formulate a problem of goal satisfaction in mutex networks in this paper. The proposed problem is motivated by problems that arise in concurrent planning. For more efficient sol...
Pavel Surynek
IUI
2000
ACM
14 years 2 months ago
Enhancing information retrieval by automatic acquisition of textual relations using genetic programming
We have explored a novel method to find textual relations in electronic documents using genetic programming and semantic networks. This can be used for enhancing information retri...
Agneta Bergström, Patricija Jaksetic, Peter N...
ECAI
2006
Springer
14 years 1 months ago
Learning Behaviors Models for Robot Execution Control
Robust execution of robotic tasks is a difficult problem. In many situations, these tasks involve complex behaviors combining different functionalities (e.g. perception, localizat...
Guillaume Infantes, Félix Ingrand, Malik Gh...