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72 documents classés par : Date Titre Nom du premier auteur Type de documents Date de dépôt

1 - 2 - 3 - 4 - 5

Bias and variance in continuous EDA Teytaud F., Teytaud O. Dans EA 09 (2009) [inria-00451416 - version 1]

Boosting Active Learning to Optimality: a Tractable Monte-Carlo, Billiard-based Algorithm Rolet P., Sebag M., Teytaud O. Dans ECML (2009) 302-317 [inria-00433866 - version 1]

Adding expert knowledge and exploration in Monte-Carlo Tree Search Chaslot G., Fiter C., Hoock J.-B., Rimmel A., Teytaud O. Dans Advances in Computer Games (2009) [inria-00386477 - version 1]

A Novel Ontology for Computer Go Knowledge Management Lee C.-S., Mei-Hui W., Hong T.-P., Chaslot G., Hoock J.-B., Rimmel A., Teytaud O., Kuo Y.-H. Dans IEEE FUZZ (2009) [inria-00386476 - version 1]

Optimizing Low-Discrepancy Sequences with an Evolutionary Algorithm Rainville F.-M. D., Gagné C., Teytaud O., Laurendeau D. Dans Genetic and Evolutionary Computation Conference (2009) 8 pages [inria-00386475 - version 1]

On the huge benefit of quasi-random mutations for multimodal optimization with application to grid-based tuning of neurocontrollers Chaslot G., Hoock J.-B., Teytaud F., Teytaud O. Dans ESANN (2009) [inria-00380125 - version 1]

Optimal robust expensive optimization is tractable Rolet P., Sebag M., Teytaud O. Dans Gecco 2009 (2009) 8 pages [inria-00374910 - version 1]

Continuous lunches are free plus the design of optimal optimization algorithms Auger A., Teytaud O. Algorithmica (2009) [inria-00369788 - version 1]

Upper Confidence Trees and Billiards for Optimal Active Learning Rolet P., Sebag M., Teytaud O. Dans CAP09 (2009) [inria-00369787 - version 1]

The Computational Intelligence of MoGo Revealed in Taiwan's Computer Go Tournaments Lee C.-S., Wang M.-H., Chaslot G., Hoock J.-B., Rimmel A., Teytaud O., Tsai S.-R., Hsu S.-C., Hong T.-P. IEEE Transactions on Computational Intelligence and AI in games (2009) [inria-00369786 - version 1]

Grid coevolution for adaptive simulations; application to the building of opening books in the game of Go Audouard P., Chaslot G., Hoock J.-B., Rimmel A., Perez J., Teytaud O. Dans EvoGames (2009) [inria-00369783 - version 1]

A Statistical Learning Perspective of Genetic Programming) Amil M., Bredeche N., Gagné C., Gelly S., Schoenauer M., Teytaud O. Dans EuroGP (2009) [inria-00369782 - version 1]

On the parallel speed-up of Estimation of Multivariate Normal Algorithm and Evolution Strategies Teytaud F., Teytaud O. Dans EvoNum (evostar workshop) EvoNum (2009) [inria-00369781 - version 1]

Why one must use reweighting in Estimation Of Distribution Algorithms Teytaud F., Teytaud O. Dans GECCO (2009) [inria-00369780 - version 1]

Combiner connaissances expertes, hors-ligne, transientes et en ligne pour l'exploration Monte-Carlo Chatriot L., Fiter C., Chaslot G., Gelly S., Hoock J.-B., Perez J., Rimmel A., Teytaud O. Revue d'Intelligence Artificielle (2008) [inria-00343509 - version 1]