S. Ontanón, G. Synnaeve, A. Uriarte, F. Richoux, D. Churchill et al., A Survey of Real-Time Strategy Game AI Research and Competition in StarCraft, Computational Intelligence and AI in Games, 2013.
DOI : 10.1109/TCIAIG.2013.2286295

G. Synnaeve, Bayesian Programming and Learning for Multi-Player Video Games: Application to RTS AI, 2012.
URL : https://hal.archives-ouvertes.fr/tel-00780635

G. Tesauro, Machines that learn to play games, ch. Comparison Training of Chess Evaluation Functions, pp.117-130, 2001.

E. T. Jaynes, Probability Theory: The Logic of Science, 2003.
DOI : 10.1017/CBO9780511790423

O. Lebeltel, P. Bessì-ere, J. Diard, and E. Mazer, Bayesian Robot Programming, Autonomous Robots, vol.16, issue.1, pp.49-79, 2004.
DOI : 10.1023/B:AURO.0000008671.38949.43
URL : https://hal.archives-ouvertes.fr/inria-00189723

P. Bessì-ere, C. Laugier, and R. Siegwart, Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, 2008.

F. Colas, J. Diard, and P. Bessì-ere, Common Bayesian Models for Common Cognitive Issues, Acta Biotheoretica, vol.86, issue.3, pp.191-216, 2010.
DOI : 10.1007/s10441-010-9101-1
URL : https://hal.archives-ouvertes.fr/hal-00530356

R. , L. Hy, A. Arrigoni, P. Bessì, and O. Lebeltel, Teaching Bayesian Behaviours to Video Game Characters, Robotics and Autonomous Systems, vol.47, pp.177-185, 2004.
URL : https://hal.archives-ouvertes.fr/inria-00182073

G. Synnaeve and P. Bessì-ere, Bayesian Modeling of a Human MMORPG Player, 30th international workshop on Bayesian Inference and Maximum Entropy, 2010.
DOI : 10.1063/1.3573658
URL : https://hal.archives-ouvertes.fr/inria-00538744

J. Hagelbäck, Potential-field based navigation in StarCraft, 2012 IEEE Conference on Computational Intelligence and Games (CIG), 2012.
DOI : 10.1109/CIG.2012.6374181

M. Preuss, N. Beume, H. Danielsiek, T. Hein, B. Naujoks et al., Towards Intelligent Team Composition and Maneuvering in Real-Time Strategy Games, IEEE Transactions on Computational Intelligence and AI in Games, vol.2, issue.2, pp.82-98, 2010.
DOI : 10.1109/TCIAIG.2010.2047645

U. Jaidee and H. Munoz-avila, Modeling unit classes as agents in real-time strategy games, Ninth Artificial Intelligence and Interactive Digital Entertainment Conference, 2013.

D. Churchill and M. Buro, Portfolio greedy search and simulation for large-scale combat in starcraft, 2013 IEEE Conference on Computational Inteligence in Games (CIG), pp.1-8, 2013.
DOI : 10.1109/CIG.2013.6633643

G. Synnaeve and P. Bessì-ere, A Bayesian model for RTS units control applied to StarCraft, 2011 IEEE Conference on Computational Intelligence and Games (CIG'11), 2011.
DOI : 10.1109/CIG.2011.6032006
URL : https://hal.archives-ouvertes.fr/hal-00607281

B. Marthi, S. Russell, D. Latham, and C. Guestrin, Concurrent hierarchical reinforcement learning, IJCAI, pp.779-785, 2005.

S. Wender and I. Watson, Applying reinforcement learning to small scale combat in the real-time strategy game StarCraft:Broodwar, 2012 IEEE Conference on Computational Intelligence and Games (CIG), 2012.
DOI : 10.1109/CIG.2012.6374183

A. Uriarte and S. Ontañón, Kiting in rts games using influence maps, Eighth Artificial Intelligence and Interactive Digital Entertainment Conference, 2012.

L. Perkins, Terrain analysis in real-time strategy games: An integrated approach to choke point detection and region decomposition, 2010.

C. Bererton, State estimation for game ai using particle filters, AAAI Workshop on Challenges in Game AI, 2004.

B. G. Weber, M. Mateas, and A. Jhala, A particle model for state estimation in real-time strategy games, Proceedings of AIIDE, pp.103-108, 2011.

G. Synnaeve and P. Bessì-ere, Special tactics: A Bayesian approach to tactical decision-making, 2012 IEEE Conference on Computational Intelligence and Games (CIG), 2012.
DOI : 10.1109/CIG.2012.6374184
URL : https://hal.archives-ouvertes.fr/hal-00752841

G. Synnaeve and P. Bessì-ere, A Bayesian Model for Plan Recognition in RTS Games applied to StarCraft, Proceedings of AIIDE, AAAI, pp.79-84, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00641323

G. Synnaeve and P. Bessiere, A Dataset for StarCraft AI & an Example of Armies Clustering, Artificial Intelligence in Adversarial Real-Time Games: Papers from the 2012 AIIDE Workshop AAAI, pp.25-30, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00752893

B. G. Weber and M. Mateas, A data mining approach to strategy prediction, 2009 IEEE Symposium on Computational Intelligence and Games, 2009.
DOI : 10.1109/CIG.2009.5286483

E. Dereszynski, J. Hostetler, A. Fern, T. D. , T. Hoang et al., Learning probabilistic behavior models in real-time strategy games, Artificial Intelligence and Interactive Digital Entertainment (AIIDE), AAAI, 2011.

H. Cho, K. Kim, and S. Cho, Replay-based strategy prediction and build order adaptation for StarCraft AI bots, 2013 IEEE Conference on Computational Inteligence in Games (CIG), pp.1-7, 2013.
DOI : 10.1109/CIG.2013.6633666

B. Jónsson, Representing uncertainty in rts games, 2012.

G. Schwarz, Estimating the Dimension of a Model, The Annals of Statistics, vol.6, issue.2, pp.461-464, 1978.
DOI : 10.1214/aos/1176344136

S. Ontanon, The combinatorial multi-armed bandit problem and its application to real-time strategy games, Ninth Artificial Intelligence and Interactive Digital Entertainment Conference, 2013.

G. Synnaeve and . Born, He received the engineering degree in computer science from He received a Ph.D. in computer science, for a work on Bayesian modeling applied to real-time strategy games AI, from University of Grenoble, in 2012. He did a post-doctorate at Ecole Normale Supérieure (LSCP) in Paris, working on language acquisition computational models that are psycho-linguistically realists. He is now a post-doctoral fellow at Facebook AI Research, Grenoble Institut National Polytechnique, 1986.