Fabien Teytaud

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[[FILE:fabien_teytaud.jpg|border|right|thumb|link=link=https://get.google.com/albumarchive/117053534374902710729/album/AF1QipM5Wr00KdHRue7XOO67QRA3-B2ClTHDqlzlAjMj/AF1QipPApyR0GYUsebcIOt40O2vawnGvdvPnww3p_d6P
 * Fabien Teytaud ]]

Fabien Teytaud, a French computer scientist and associate professor at University of the Littoral Opal Coast (ULCO). He defended his Ph.D. at Paris-Sud 11 University in 2011 under the direction of Marc Schoenauer and Olivier Teytaud, and was member of the TAO Project Team of LRI. His research interests in the fields of artificial intelligence and machine lerning include evolutionary algorithms, global and stochastic optimization, reinforcement learning and computer games. He is co-author of various papers on Parallel Monte-Carlo Tree Search. Along with Olivier Teytaud, he is co-author of the Havannah programs Shakti and Shakty.

=Selected Publications=

2009

 * Fabien Teytaud, Olivier Teytaud (2009). Creating an Upper-Confidence-Tree program for Havannah. Advances in Computer Games 12, pdf

2010 ...

 * Amine Bourki, Guillaume Chaslot, Matthieu Coulm, Vincent Danjean, Hassen Doghmen, Thomas Hérault, Jean-Baptiste Hoock, Arpad Rimmel, Fabien Teytaud, Olivier Teytaud, Paul Vayssière, Ziqin Yu (2010). Scalability and Parallelization of Monte-Carlo Tree Search. CG 2010, pdf
 * Arpad Rimmel, Fabien Teytaud, Olivier Teytaud (2010). Biasing Monte-Carlo Simulations through RAVE Values. CG 2010, pdf
 * Fabien Teytaud, Olivier Teytaud (2010). On the Huge Benefit of Decisive Moves in Monte-Carlo Tree Search Algorithms. pdf
 * Arpad Rimmel, Fabien Teytaud, Tristan Cazenave (2011). Optimization of the Nested Monte-Carlo Algorithm on the Traveling Salesman Problem with Time Windows. Evostar 2011, pdf
 * Cheng-Wei Chou, Ping-Chiang Chou, Hassen Doghmen, Chang-Shing Lee, Tsan-Cheng Su, Fabien Teytaud, Olivier Teytaud, Hui-Ming Wang, Mei-Hui Wang, Li-Wen Wu, Shi-Jim Yen (2011). Towards a Solution of 7x7 Go with Meta-MCTS. Advances in Computer Games 13
 * Fabien Teytaud (2011). Introduction of statistics in optimization (Introduction de statistiques en optimisation). Ph.D. thesis, Paris-Sud 11 University, advisors Marc Schoenauer and Olivier Teytaud
 * Tristan Cazenave, Fabien Teytaud (2012). Beam Nested Rollout Policy Adaptation. ECAI CGW 2012, pdf
 * Denis Robilliard, Cyril Fonlupt, Fabien Teytaud (2014). Monte-Carlo Tree Search for the Game of “7 Wonders”. ECAI CGW 2014, pdf

2015 ...

 * Fabien Teytaud, Julien Dehos (2015). On the Tactical and Strategic Behaviour of MCTS when Biasing Random Simulations. ICGA Journal, Vol. 38, No. 2
 * Joris Duguépéroux, Ahmad Mazyad, Fabien Teytaud, Julien Dehos (2016). Pruning playouts in Monte-Carlo Tree Search for the game of Havannah. CG 2016, pdf
 * David L. St-Pierre, Jean-Baptiste Hoock, Jialin Liu, Fabien Teytaud, Olivier Teytaud (2016). Automatically Reinforcing a Game AI. arXiv:1607.0810 » MCTS
 * Marie-Liesse Cauwet, Camille Couprie, Julien Dehos, Pauline Luc, Jérémy Rapin, Morgane Rivière, Fabien Teytaud, Olivier Teytaud (2019). Fully Parallel Hyperparameter Search: Reshaped Space-Filling. arXiv:1910.08406

2020 ...

 * Jialin Liu, Antoine Moreau, Mike Preuss, Baptiste Roziere, Jeremy Rapin, Fabien Teytaud, Olivier Teytaud (2020). Versatile Black-Box Optimization. arXiv:2004.14014
 * Tristan Cazenave, Yen-Chi Chen, Guan-Wei Chen, Shi-Yu Chen, Xian-Dong Chiu, Julien Dehos, Maria Elsa, Qucheng Gong, Hengyuan Hu, Vasil Khalidov, Cheng-Ling Li, Hsin-I Lin, Yu-Jin Lin, Xavier Martinet, Vegard Mella, Jeremy Rapin, Baptiste Roziere, Gabriel Synnaeve, Fabien Teytaud, Olivier Teytaud, Shi-Cheng Ye, Yi-Jun Ye, Shi-Jim Yen, Sergey Zagoruyko (2020). Polygames: Improved zero learning. ICGA Journal, Vol. 42, No. 4, arXiv:2001.09832

=External Links=
 * Fabien Teytaud's Home Page
 * Fabien Teytaud's ICGA Tournaments
 * Fabien Teytaud‬ - ‪Google Scholar‬

=References= Up one level