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title: Olivier Teytaud

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Olivier Teytaud [1] Olivier Teytaud,

a French computer scientist and researcher at Facebook, previously affiliated with INRIA Saclay-IDF, CNRS, Laboratoire de Recherche en Informatique (LRI), Paris-Sud University. His research covers planning, machine learning, dynamic and genetic programming, optimization, and operational research. Olivier Teytaud is co-author of the Havannah programs Shakti and Shakty, and co-author of the Go playing program Mogo, using Monte-Carlo Tree Search which uses patterns in the simulations and improvements in UCT [2].

2006 ...

Sylvain Gelly, Olivier Teytaud, Nicolas Bredèche, Marc Schoenauer (2006). Universal Consistency and Bloat in GP. Some theoretical considerations about Genetic Programming from a Statistical Learning Theory viewpoint. pdf (draft)
Sylvain Gelly, Olivier Teytaud (2006). Bayesian networks : a better than frequentist approach for parametrization, and a more accurate structural complexity measure than the number of parameters. pdf (draft)
Sylvain Gelly, Jérémie Mary, Olivier Teytaud (2006). Learning for stochastic dynamic programming. pdf
Sylvain Gelly, Jérémie Mary, Olivier Teytaud (2006). On the ultimate convergence rates for isotropic algorithms and the best choices among various forms of isotropy. PPSN, 2006, pdf
Olivier Teytaud, Sylvain Gelly (2006). General lower bounds for evolutionary algorithms. pdf
Sylvain Gelly, Yizao Wang, Rémi Munos, Olivier Teytaud (2006). Modiﬁcation of UCT with Patterns in Monte-Carlo Go. INRIA

2007

Sylvain Gelly, Olivier Teytaud, Jérémie Mary (2007). Active learning in regression, with application to stochastic dynamic programming. ICINCO and CAP, 2007, pdf

2008

Sylvain Gelly, Jean-Baptiste Hoock, Arpad Rimmel, Olivier Teytaud, Yann Kalemkarian (2008). The Parallelization of Monte-Carlo Planning - Parallelization of MC-Planning. ICINCO-ICSO 2008: 244-249, pdf, slides as pdf
Guillaume Chaslot, Louis Chatriot, Christophe Fiter, Sylvain Gelly, Jean-Baptiste Hoock, Julien Pérez, Arpad Rimmel, Olivier Teytaud (2008). Combining expert, offline, transient and online knowledge in Monte-Carlo exploration. pdf
Guillaume Chaslot, Jean-Baptiste Hoock, Arpad Rimmel, Olivier Teytaud, Chang-Shing Lee, Mei-Hui Wang, Shang-Rong Tsai, Shun-Chin Hsu (2008). Human-Computer Go Revolution 2008. ICGA Journal, Vol. 31, No. 3

2009

Nur Merve Amil, Nicolas Bredèche, Christian Gagné, Sylvain Gelly, Marc Schoenauer, Olivier Teytaud (2009). A Statistical Learning Perspective of Genetic Programming. EuroGP 2009, pdf
Guillaume Chaslot, Christophe Fiter, Jean-Baptiste Hoock, Arpad Rimmel, Olivier Teytaud (2009). Adding Expert Knowledge and Exploration in Monte-Carlo Tree Search. Advances in Computer Games 12, pdf
Fabien Teytaud, Olivier Teytaud (2009). Creating an Upper-Confidence-Tree program for Havannah. Advances in Computer Games 12, pdf
Chang-Shing Lee, Mei-Hui Wang, Guillaume Chaslot, Jean-Baptiste Hoock, Arpad Rimmel, Olivier Teytaud, Shang-Rong Tsai, Shun-Chin Hsu, Tzung-Pei Hong (2009). The Computational Intelligence of MoGo Revealed in Taiwan's Computer Go Tournaments. pdf
Chang-Shing Lee, Mei-Hui Wang, Tzung-Pei Hong, Guillaume Chaslot, Jean-Baptiste Hoock, Arpad Rimmel, Olivier Teytaud, Yau-Hwang Kuo (2009). A Novel Ontology for Computer Go Knowledge Management. IEEE FUZZ (2009), pdf
Pierre Audouard, Guillaume Chaslot, Jean-Baptiste Hoock, Arpad Rimmel, Julien Pérez, Olivier Teytaud (2009). Grid co-evolution for adaptive simulations; application to the building of opening books in the game of Go. pdf
Guillaume Chaslot, Jean-Baptiste Hoock, Julien Pérez, Arpad Rimmel, Olivier Teytaud, Mark Winands (2009). Meta Monte-Carlo Tree Search for Automatic Opening Book Generation. pdf
Vincent Berthier, Amine Bourki, Matthieu Coulm, Guillaume Chaslot, Christophe Fiter, Sylvain Gelly, Jean-Baptiste Hoock, Rémi Munos, Julien Pérez, Arpad Rimmel, Philippe Rolet, Olivier Teytaud, Paul Vayssière, Yizao Wang, Ziqin Yu (et al.) (2009). Computer-Go is not only for Go. Korea, August 2009 slides as pdf

2010 ...

Jean-Baptiste Hoock, Olivier Teytaud (2010). Bandit-Based Genetic Programming. 13th European Conference on Genetic Programming (2010), pdf
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
Romaric Gaudel, Jean-Baptiste Hoock, Julien Pérez, Nataliya Sokolovska, Olivier Teytaud (2010). A Principled Method for Exploiting Opening Books. CG 2010, pdf
Fabien Teytaud, Olivier Teytaud (2010). On the Huge Benefit of Decisive Moves in Monte-Carlo Tree Search Algorithms. pdf
Amine Bourki, Matthieu Coulm, Philippe Rolet, Olivier Teytaud, Paul Vayssière (2010). Parameter Tuning by Simple Regret Algorithms and Multiple Simultaneous Hypothesis Testing. pdf
Vincent Berthier, Hassen Doghmen, Olivier Teytaud (2010). Consistency Modiﬁcations for Automatically Tuned Monte-Carlo Tree Search. pdf
Arpad Rimmel, Olivier Teytaud, Chang-Shing Lee, Shi-Jim Yen, Mei-Hui Wang, Shang-Rong Tsai (2010). Current Frontiers in Computer Go. IEEE Transactions on Computational Intelligence and AI in Games, Vol. 2

2011

Rémi Coulom, Philippe Rolet, Nataliya Sokolovska, Olivier Teytaud (2011). Handling Expensive Optimization with Large Noise. pdf
Cheng-Wei Chou, Olivier Teytaud, Shi-Jim Yen (2011). Revisiting Monte-Carlo Tree Search on a Normal Form Game: NoGo. EvoApplications 2011 [4]
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
David L. St-Pierre, Quentin Louveaux, Olivier Teytaud (2011). Online Sparse Bandit for Card Games. Advances in Computer Games 13
Adrien Couëtoux, Jean-Baptiste Hoock, Nataliya Sokolovska, Olivier Teytaud, Nicolas Bonnard (2011). Continuous Upper Confidence Trees. LION 2011, pdf

2012

Sylvain Gelly, Marc Schoenauer, Michèle Sebag, Olivier Teytaud, Levente Kocsis, David Silver, Csaba Szepesvári (2012). The Grand Challenge of Computer Go: Monte Carlo Tree Search and Extensions. Communications of the ACM, Vol. 55, No. 3, pdf preprint
Adrien Couetoux, Olivier Teytaud, Hassen Doghmen (2012). Learning a Move-Generator for Upper Confidence Trees. ICS 2012, Hualien, Taiwan, December 2012
Chang-Shing Lee, Mei-Hui Wang, Olivier Teytaud, Shi-Jim Yen (2012). Human vs. Machine Go Competitions in IEEE WCCI 2012. ICGA Journal, Vol. 35, No. 4
Ping-Chiang Chou, Shi-Jim Yen, Cheng-Wei Chou, Ching-Nung Lin, Chang-Shing Lee, Olivier Teytaud, Hassen Doghmen (2012). A simple Tsumego Generator. GPW 2012
Cheng-Wei Chou, Ping-Chiang Chou, Chang-Shing Lee, David L. Saint-Pierre, Olivier Teytaud, Mei-Hui Wang, Li-Wen Wu, Shi-Jim Yen (2012). Strategic Choices: Small Budgets and Simple Regret. TAAI 2012, Excellent Paper Award, pdf

2015 ...

Marie-Liesse Cauwet, Olivier Teytaud, Hua-Min Liang, Shi-Jim Yen, Hung-Hsuan Lin, I-Chen Wu, Tristan Cazenave, Abdallah Saffidine (2015). Depth, balancing, and limits of the Elo model. IEEE Conference on Computational Intelligence and Games 2015, arXiv:1511.02006
Olivier Teytaud, Abdallah Saffidine, Shi-Jim Yen (2015). The complexities of Go. Advances in Computer Games 14
Jialin Liu, Olivier Teytaud, Tristan Cazenave (2016). Fast seed-learning algorithms for games. CG 2016
David L. St-Pierre, Jean-Baptiste Hoock, Jialin Liu, Fabien Teytaud, Olivier Teytaud (2016). Automatically Reinforcing a Game AI. arXiv:1607.0810 » MCTS
Olivier Bousquet, Sylvain Gelly, Karol Kurach, Marc Schoenauer, Michèle Sebag, Olivier Teytaud, Damien Vincent (2017). Toward Optimal Run Racing: Application to Deep Learning Calibration. arXiv:1706.03199
Jeremy Rapin, Olivier Teytaud (2018). Nevergrad - A gradient-free optimization platform. GitHub - facebookresearch/nevergrad: A Python toolbox for performing gradient-free optimization

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
Dennis Soemers, Vegard Mella, Cameron Browne, Olivier Teytaud (2021). Deep learning for general game playing with Ludii and Polygames. ICGA Journal, Vol. 43, No. 3

External Links

References

↑ Image from Biography in Chang-Shing Lee, Mei-Hui Wang, Guillaume Chaslot, Jean-Baptiste Hoock, Arpad Rimmel, Olivier Teytaud, Shang-Rong Tsai, Shun-Chin Hsu, Tzung-Pei Hong (2009). The Computational Intelligence of MoGo Revealed in Taiwan's Computer Go Tournaments. pdf
↑ MoGo at Sensei's Library
↑ dblp: Olivier Teytaud
↑ NoGo (ICGA Tournaments)

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