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ATAL
2010
Springer
14 years 12 months ago
PAC-MDP learning with knowledge-based admissible models
PAC-MDP algorithms approach the exploration-exploitation problem of reinforcement learning agents in an effective way which guarantees that with high probability, the algorithm pe...
Marek Grzes, Daniel Kudenko
GECCO
2008
Springer
114views Optimization» more  GECCO 2008»
15 years 23 days ago
Strategic positioning in tactical scenario planning
Capability planning problems are pervasive throughout many areas of human interest with prominent examples found in defense and security. Planning provides a unique context for op...
James M. Whitacre, Hussein A. Abbass, Ruhul A. Sar...
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
15 years 3 months ago
The role of diverse populations in phylogenetic analysis
The most popular approaches for reconstructing phylogenetic trees attempt to solve NP-hard optimization criteria such as maximum parsimony (MP). Currently, the bestperforming heur...
Tiffani L. Williams, Marc L. Smith
GECCO
2007
Springer
437views Optimization» more  GECCO 2007»
15 years 5 months ago
A gestalt genetic algorithm: less details for better search
The basic idea to defend in this paper is that an adequate perception of the search space, sacrificing most of the precision, can paradoxically accelerate the discovery of the mo...
Christophe Philemotte, Hugues Bersini
MAGS
2008
104views more  MAGS 2008»
14 years 11 months ago
Retractable contract network for empowerment in workforce scheduling
This paper is about business modelling and negotiation protocol design in distributed scheduling, where individual agents have individual (potentially conflicting) interests. It i...
Edward P. K. Tsang, Timothy Gosling, Botond Virgin...