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Jean Méhat ^[1]

Jean Méhat,
a French computer scientist and associate professor at Paris 8 University, LIASD. His research interests include search algorithms, in particular parallel Monte-Carlo tree search along with general game playing. In 2009, Jean Méhat and Tristan Cazenave won the general game playing competition ^[2] at IJCAI 2009 with their program Ary ^[3], applying Nested Monte-Carlo search ^[4] .

Selected Publications

Jean Méhat, Tristan Cazenave (2008). Ary: A Program for General Game Playing. pdf
Jean Méhat, Tristan Cazenave (2008). Monte-Carlo Tree Search for General Game Playing. pdf

Abdallah Saffidine, Tristan Cazenave, Jean Méhat (2010). UCD : Upper Confidence bound for rooted Directed acyclic graphs. TAAI IWCG, pdf
Jean Méhat, Tristan Cazenave (2010). Combining UCT and Nested Monte-Carlo Search for Single-Player General Game Playing. IEEE Transactions on Computational Intelligence and AI in Games, Vol. 2, No. 4, pdf preprint
Jean Méhat (2010). Réseaux et transmissions de données Licence d'informatique deuxième année. Paris 8 University, pdf
Jean Méhat, Tristan Cazenave (2011). A Parallel General Game Player. KI Journal, Vol. 25, No. 1, pdf
Tristan Cazenave, Jean Méhat, Mark Winands (eds.) (2012). Computer Games Workshop at ECAI 2012. ECAI CGW 2012, pdf
Abdallah Saffidine, Tristan Cazenave, Jean Méhat (2012). UCD : Upper confidence bound for rooted directed acyclic graphs. Knowledge Based Systems, Vol. 34
Jean-Noël Vittaut, Jean Méhat (2014). Fast Instantiation of GGP Game Descriptions Using Prolog with Tabling. ECAI CGW 2014, pdf
Jean-Noël Vittaut, Jean Méhat (2014). Efficient Grounding of Game Descriptions with Tabling. ECAI CGW 2014