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1 - 2

Biasing Monte-Carlo Simulations through RAVE Values Rimmel A., Teytaud F., Teytaud O. Dans The International Conference on Computers and Games 2010 (2010) [inria-00485555 - version 1]

Multiple Overlapping Tiles for Contextual Monte Carlo Tree Search Rimmel A., Teytaud F. Dans Evostar (2010) [inria-00456422 - version 2]

A new selection ratio for large population sizes Teytaud F. Dans Evostar (2010) [inria-00456335 - version 1]

Scalability and Parallelization of Monte-Carlo Tree Search Bourki A., Chaslot G., Coulm M., Danjean V., Doghmen H., Hérault T., Hoock J.-B., Rimmel A., Teytaud F., Teytaud O. et al Dans The International Conference on Computers and Games 2010 (2010) [inria-00512854 - version 1]

Du jeu de Go au Havannah : variantes d'UCT et coups décisifs Teytaud F., Teytaud O. Dans RFIA (2010) [inria-00454541 - version 1]

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

Creating an Upper-Confidence-Tree program for Havannah Teytaud F., Teytaud O. Dans ACG 12 (2009) [inria-00380539 - 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]

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]