Fabien Teytaud

发表

On the Parallel Speed-Up of Estimation of Multivariate Normal Algorithm and Evolution Strategies

Olivier Teytaud, Fabien Teytaud, 2009, EvoWorkshops.

Learning opening books in partially observable games: Using random seeds in Phantom Go

Olivier Teytaud, Fabien Teytaud, Jialin Liu, 2016, 2016 IEEE Conference on Computational Intelligence and Games (CIG).

Multi-Armed Bandit for Stratified Sampling: Application to Numerical Integration

Fabien Teytaud, Julien Dehos, Florian Lepretre, 2017, 2017 Conference on Technologies and Applications of Artificial Intelligence (TAAI).

Towards a Solution of 7x7 Go with Meta-MCTS

Olivier Teytaud, Hui-Min Wang, Shi-Jim Yen, 2011, ACG.

Monte-Carlo Tree Search for the Game of "7 Wonders"

Cyril Fonlupt, Denis Robilliard, Fabien Teytaud, 2014, CGW@ECAI.

Information Gain Based Term Weighting Method for Multi-label Text Classification Task

Cyril Fonlupt, Fabien Teytaud, Ahmad Mazyad, 2018, IntelliSys.

Introduction of statistics in optimization

Fabien Teytaud, F. Teytaud, 2011 .

QR mutations improve many evolution strategies -a lot on highly multimodal problems

Olivier Teytaud, Fabien Teytaud, 2016 .

Random positions in Go

Olivier Teytaud, Shi-Jim Yen, Fabien Teytaud, 2011, 2011 IEEE Conference on Computational Intelligence and Games (CIG'11).

BCMA-ES: A Bayesian Approach to CMA-ES

Eric Benhamou, Sébastien Vérel, David Saltiel, 2019, SSRN Electronic Journal.

EvolGAN: Evolutionary Generative Adversarial Networks pdf

Olivier Teytaud, Fabien Teytaud, Vlad Hosu, 2020, ACCV.

Lemmas on partial observation, with application to phantom games

Olivier Teytaud, Fabien Teytaud, 2011, 2011 IEEE Conference on Computational Intelligence and Games (CIG'11).

A Rigorous Runtime Analysis for Quasi-Random Restarts and Decreasing Stepsize

Olivier Teytaud, Marc Schoenauer, Fabien Teytaud, 2011, Artificial Evolution.

Algorithm and knowledge engineering for the TSPTW problem

Stefan Edelkamp, Fabien Teytaud, Tristan Cazenave, 2013, 2013 IEEE Symposium on Computational Intelligence in Scheduling (CISched).

Upper confidence tree for planning restart strategies in multi-modal optimization

Fabien Teytaud, Julien Dehos, Amaury Dubois, 2020, Soft Computing.

Beam Nested Rollout Policy Adaptation

Fabien Teytaud, Tristan Cazenave, 2012, ECAI 2012.

Automatic Calibration of a Farm Irrigation Model: A Multi-Modal Optimization Approach

Fabien Teytaud, Sébastien Verel, Amaury Dubois, 2019, EA.

A Comparative Study on Term Weighting Schemes for Text Classification

Cyril Fonlupt, Fabien Teytaud, Ahmad Mazyad, 2017, MOD.

Why one must use reweighting in estimation of distribution algorithms

Olivier Teytaud, Fabien Teytaud, 2009, GECCO '09.

Polygames: Improved Zero Learning pdf

Olivier Teytaud, Yen-Chi Chen, Shi-Jim Yen, 2020, J. Int. Comput. Games Assoc..

Intelligent for the Game of Go

Olivier Teytaud, Fabien Teytaud, Chang-Shing Lee, 2010 .

Improving Multi-modal Optimization Restart Strategy Through Multi-armed Bandit

Fabien Teytaud, Julien Dehos, Amaury Dubois, 2018, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA).

Creating an Upper-Confidence-Tree Program for Havannah

Olivier Teytaud, Fabien Teytaud, O. Teytaud, 2009, ACG.

Pruning Playouts in Monte-Carlo Tree Search for the Game of Havannah

Fabien Teytaud, Joris Duguépéroux, Julien Dehos, 2016, Computers and Games.

Computational and human intelligence in blind Go

Olivier Teytaud, Hui-Min Wang, Shi-Jim Yen, 2011, 2011 IEEE Conference on Computational Intelligence and Games (CIG'11).

Introduction of statistics in optimization. (Introduction de statistiques en optimisation)

Fabien Teytaud, 2011 .

Creating an Upper-Condence-T ree program for Havannah

Olivier Teytaud, Fabien Teytaud, O. Teytaud, 2009 .

Differential evolution for strongly noisy optimization: Use 1.01n resamplings at iteration n and reach the − 1/2 slope

Olivier Teytaud, Shi-Jim Yen, Fabien Teytaud, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

On the huge benefit of quasi-random mutations for multimodal optimization with application to grid-based tuning of neurocontrollers

Olivier Teytaud, Fabien Teytaud, Guillaume Chaslot, 2009, ESANN.

On the Tactical and Strategic Behaviour of MTCS when Biasing Random Simulations

Fabien Teytaud, Julien Dehos, 2015, J. Int. Comput. Games Assoc..

A New Selection Ratio for Large Population Sizes

Fabien Teytaud, 2010, EvoApplications.

Learning new Term Weighting Schemes with Genetic Programming

Cyril Fonlupt, Fabien Teytaud, Ahmad Mazyad, 2017 .

Application of the Nested Rollout Policy Adaptation Algorithm to the Traveling Salesman Problem with Time Windows

Fabien Teytaud, Tristan Cazenave, 2012, LION.

Multiple Overlapping Tiles for Contextual Monte Carlo Tree Search

Fabien Teytaud, Arpad Rimmel, 2010, EvoApplications.

Generating term weighting schemes through genetic programming

Cyril Fonlupt, Fabien Teytaud, Ahmad Mazyad, 2018, GECCO.

Optimization of the Nested Monte-Carlo Algorithm on the Traveling Salesman Problem with Time Windows

Fabien Teytaud, Tristan Cazenave, Arpad Rimmel, 2011, EvoApplications.

Human vs. Computer Go Competition in FUZZ-IEEE 2011

Olivier Teytaud, Shi-Jim Yen, Fabien Teytaud, 2011, J. Int. Comput. Games Assoc..

On the huge benefit of decisive moves in Monte-Carlo Tree Search algorithms

Olivier Teytaud, Fabien Teytaud, O. Teytaud, 2010, Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games.

New Results - Optimal Decision Making

Nataliya Sokolovska, David Auger, Michèle Sebag, 2011 .

Convergence Rates of Evolutionary Algorithms and Parallel Evolutionary Algorithms

Olivier Teytaud, Fabien Teytaud, O. Teytaud, 2014, Theory and Principled Methods for the Design of Metaheuristics.

Investigating Monte-Carlo Methods on the Weak Schur Problem

Cyril Fonlupt, Denis Robilliard, Fabien Teytaud, 2013, EvoCOP.

Log(lambda) Modifications for Optimal Parallelism

Olivier Teytaud, Fabien Teytaud, O. Teytaud, 2010, PPSN.

Intelligent Agents for the Game of Go

Olivier Teytaud, Fabien Teytaud, Chang-Shing Lee, 2010, IEEE Computational Intelligence Magazine.

Bias and variance in continuous EDA

Olivier Teytaud, Fabien Teytaud, 2009 .

Biasing Monte-Carlo Simulations through RAVE Values

Olivier Teytaud, Fabien Teytaud, Arpad Rimmel, 2010, Computers and Games.

Parallel Evolutionary Algorithms Performing Pairwise Comparisons

Olivier Teytaud, Shi-Jim Yen, Fabien Teytaud, 2015, FOGA.

MONTE-CARLO TREE SEARCH FOR THE "MR JACK" BOARD GAME

Cyril Fonlupt, Fabien Teytaud, Ahmad Mazyad, 2015, SOCO 2015.

A Critical Reassessment of Evolutionary Algorithms on the cryptanalysis of the simplified data encryption standard algorithm pdf

Cyril Fonlupt, Fabien Teytaud, 2014, ArXiv.

Automatically Reinforcing a Game AI pdf

Olivier Teytaud, Fabien Teytaud, Jialin Liu, 2016, ArXiv.

A Survey of Meta-heuristics Used for Computing Maximin Latin Hypercube

Fabien Teytaud, Arpad Rimmel, 2014, EvoCOP.

Short term soil moisture forecasts for potato crop farming: A machine learning approach

Fabien Teytaud, Sébastien Verel, Amaury Dubois, 2021, Comput. Electron. Agric..

Simple tools for multimodal optimization

Olivier Teytaud, Marc Schoenauer, Fabien Teytaud, 2011, GECCO '11.

Scalability and Parallelization of Monte-Carlo Tree Search

Thomas Hérault, Olivier Teytaud, Fabien Teytaud, 2010, Computers and Games.

QR Mutations Improve Many Evolution Strategies: A Lot On Highly Multimodal Problems

Olivier Teytaud, Fabien Teytaud, O. Teytaud, 2016, GECCO.

Generating Term Weighting Schemes Through Genetic Programming

Cyril Fonlupt, Fabien Teytaud, Ahmad Mazyad, 2018, LOD.

Versatile black-box optimization

Olivier Teytaud, Fabien Teytaud, Mike Preuss, 2020, GECCO.