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a French computer scientist and researcher at [https://en.wikipedia.org/wiki/Facebook Facebook], previously affiliated with [https://en.wikipedia.org/wiki/National_Institute_for_Research_in_Computer_Science_and_Control INRIA] [https://en.wikipedia.org/wiki/Saclay Saclay]-[https://en.wikipedia.org/wiki/%C3%8Ele-de-France_%28region%29 IDF], [https://en.wikipedia.org/wiki/French_National_Centre_for_Scientific_Research CNRS], [http://fr.wikipedia.org/wiki/Laboratoire_de_recherche_en_informatique Laboratoire de Recherche en Informatique (LRI)], [[University of Paris#11|Paris-Sud University]]. His research covers [[Planning|planning]], [[Learning|machine learning]], [[Dynamic Programming|dynamic]] and [[Genetic Programming|genetic programming]], optimization, and [https://en.wikipedia.org/wiki/Operations_research operational research]. Olivier Teytaud is co-author of the [[Havannah]] programs [https://www.game-ai-forum.org/icga-tournaments/program.php?id=600 Shakti] and [https://www.game-ai-forum.org/icga-tournaments/program.php?id=626 Shakty], and co-author of the [[Go]] playing program [https://www.game-ai-forum.org/icga-tournaments/program.php?id=515 Mogo], using [[Monte-Carlo Tree Search]] which uses patterns in the simulations and improvements in [[UCT]] <ref>[httphttps://wwwsenseis.lrixmp.frnet/~teytaud/mogo.html ?MoGo MoGo: a software for the Game of Goat Sensei's Library]</ref>.