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» Phenomenology, Representations and Complexity
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ATAL
2010
Springer
14 years 11 months ago
Learning multi-agent state space representations
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
Yann-Michaël De Hauwere, Peter Vrancx, Ann No...
GECCO
2003
Springer
189views Optimization» more  GECCO 2003»
15 years 3 months ago
A Forest Representation for Evolutionary Algorithms Applied to Network Design
Abstract. Network design involves several areas of engineering and science. Computer networks, electrical circuits, transportation problems, and phylogenetic trees are some example...
Alexandre C. B. Delbem, André Carlos Ponce ...
AIME
2005
Springer
14 years 11 months ago
EORCA: A Collaborative Activities Representation for Building Guidelines from Field Observations
In the objective of building care team guidelines from field observations, this paper introduces a representation method for describing the medical collaborative activities during ...
Liliane Pellegrin, Nathalie Bonnardel, Franç...
GECCO
2005
Springer
171views Optimization» more  GECCO 2005»
15 years 3 months ago
Behaviorally coupled emergent representation
Traditionally, representation has been perceived as a necessity for producing intelligent behavior. Once the right representation is in place to drive it, behavior unfolds as the ...
Joseph Lewis, Jamie Lawson
CORR
2010
Springer
210views Education» more  CORR 2010»
14 years 10 months ago
Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...
Tomer Faktor, Yonina C. Eldar, Michael Elad