| Creating an upper-confidence-tree program for Havannah F Teytaud, O Teytaud Advances in Computer Games, 65-74, 2009 | 79 | 2009 |
| Optimization of the nested monte-carlo algorithm on the traveling salesman problem with time windows A Rimmel, F Teytaud, T Cazenave Applications of Evolutionary Computation: EvoApplications 2011: EvoCOMNET …, 2011 | 70 | 2011 |
| Scalability and parallelization of monte-carlo tree search A Bourki, G Chaslot, M Coulm, V Danjean, H Doghmen, JB Hoock, ... Computers and Games: 7th International Conference, CG 2010, Kanazawa, Japan …, 2011 | 65 | 2011 |
| Short term soil moisture forecasts for potato crop farming: A machine learning approach A Dubois, F Teytaud, S Verel Computers and Electronics in Agriculture 180, 105902, 2021 | 64 | 2021 |
| Algorithm and knowledge engineering for the TSPTW problem S Edelkamp, M Gath, T Cazenave, F Teytaud 2013 IEEE Symposium on Computational Intelligence in Scheduling (CISched), 44-51, 2013 | 58 | 2013 |
| Biasing Monte-Carlo simulations through RAVE values A Rimmel, F Teytaud, O Teytaud International Conference on Computers and Games, 59-68, 2010 | 54 | 2010 |
| Polygames: Improved zero learning T Cazenave, YC Chen, GW Chen, SY Chen, XD Chiu, J Dehos, M Elsa, ... International Computer Games Association Journal 42 (4), pp.244-256, 2020 | 53 | 2020 |
| Application of the nested rollout policy adaptation algorithm to the traveling salesman problem with time windows T Cazenave, F Teytaud International Conference on Learning and Intelligent Optimization, 42-54, 2012 | 48 | 2012 |
| Intelligent agents for the game of Go JB Hoock, CS Lee, A Rimmel, F Teytaud, MH Wang, O Teytaud IEEE Computational Intelligence Magazine 5 (4), 28-42, 2010 | 41 | 2010 |
| On the huge benefit of decisive moves in Monte-Carlo Tree Search algorithms F Teytaud, O Teytaud Proceedings of the 2010 IEEE Conference on Computational Intelligence and …, 2010 | 40 | 2010 |
| Nevergrad: black-box optimization platform P Bennet, C Doerr, A Moreau, J Rapin, F Teytaud, O Teytaud ACM SIGEVOlution 14 (1), 8-15, 2021 | 36 | 2021 |
| Versatile black-box optimization J Liu, A Moreau, M Preuss, J Rapin, B Roziere, F Teytaud, O Teytaud Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 620-628, 2020 | 35 | 2020 |
| Multiple overlapping tiles for contextual Monte Carlo tree search A Rimmel, F Teytaud European Conference on the Applications of Evolutionary Computation, 201-210, 2010 | 30 | 2010 |
| Fully parallel hyperparameter search: Reshaped space-filling ML Cauwet, C Couprie, J Dehos, P Luc, J Rapin, M Riviere, F Teytaud, ... International Conference on Machine Learning, 1338-1348, 2020 | 28 | 2020 |
| Monte-carlo tree search for the game of “7 wonders” D Robilliard, C Fonlupt, F Teytaud Computer Games: Third Workshop on Computer Games, CGW 2014, Held in …, 2014 | 26 | 2014 |
| Evolgan: Evolutionary generative adversarial networks B Roziere, F Teytaud, V Hosu, H Lin, J Rapin, M Zameshina, O Teytaud Proceedings of the Asian Conference on Computer Vision, 2020 | 21 | 2020 |
| Investigating Monte-Carlo methods on the weak Schur problem S Eliahou, C Fonlupt, J Fromentin, V Marion-Poty, D Robilliard, F Teytaud European Conference on Evolutionary Computation in Combinatorial …, 2013 | 18 | 2013 |
| Why one must use reweighting in estimation of distribution algorithms F Teytaud, O Teytaud Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009 | 18 | 2009 |
| A comparative study on term weighting schemes for text classification A Mazyad, F Teytaud, C Fonlupt Machine Learning, Optimization, and Big Data: Third International Conference …, 2018 | 17 | 2018 |
| A rigorous runtime analysis for quasi-random restarts and decreasing stepsize M Schoenauer, F Teytaud, O Teytaud International Conference on Artificial Evolution (Evolution Artificielle), 37-48, 2011 | 17 | 2011 |
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