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ECML
2005
Springer
16 years 5 days ago
Model-Based Online Learning of POMDPs
Abstract. Learning to act in an unknown partially observable domain is a difficult variant of the reinforcement learning paradigm. Research in the area has focused on model-free m...
Guy Shani, Ronen I. Brafman, Solomon Eyal Shimony
142
Voted
EMO
2005
Springer
76views Optimization» more  EMO 2005»
16 years 5 days ago
Photonic Device Design Using Multiobjective Evolutionary Algorithms
Abstract. The optimization and design of two different types of photonic devices - a Fibre Bragg Grating and a Microstructured Polymer Optical Fibre is presented in light of multi...
Steven Manos, Leon Poladian, Peter J. Bentley, Mar...
EUC
2005
Springer
16 years 5 days ago
Dynamic Resource Discovery for Sensor Networks
As sensor networks mature the current generation of sensor networks that are application-specific and exposed only to a limited set of users will give way to heterogeneous sensor ...
Sameer Tilak, Kenneth Chiu, Nael B. Abu-Ghazaleh, ...
GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
16 years 5 days ago
Discovering biological motifs with genetic programming
Choosing the right representation for a problem is important. In this article we introduce a linear genetic programming approach for motif discovery in protein families, and we al...
Rolv Seehuus, Amund Tveit, Ole Edsberg
GECCO
2005
Springer
159views Optimization» more  GECCO 2005»
16 years 5 days ago
Resource-limited genetic programming: the dynamic approach
Resource-Limited Genetic Programming is a bloat control technique that imposes a single limit on the total amount of resources available to the entire population, where resources ...
Sara Silva, Ernesto Costa
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