My name is David Lupien St-Pierre. I am a Post-doc at TAO/INRIA. I am affiliated with the
TAO Research Unit . I do research in Artificial
Intelligence and Optimization with a particular emphasis on applications for games and recently for power systems.
Contact information
Address:
Ever changing
Research interest
In the power systems research field, I mostly focus on investment problem. The problem consist mainly into choosing the best investment project given different scenarios. Each scenario is a forecast of different environmental situations, possible technological advancements and other variables hard to quantify. Luckily all these information are gathered in a matrix and my goal is to optimize the decision making process.
My research in games focuses on the field of Monte Carlo Search
(MCS) , which is a sub-area of machine learning concerned
with how an agent ought to take actions in an environment so as to
maximize a reward. I mainly apply MCS algorithms for multi players/partial information games although I do not relish the occasional single player full information game. Games in general are a passion and a subject of
fascination for me. Here are two videos where I discuss my interest in general for games :
"The Parallelization of Particle Swarm Optimization".
D.L. St-Pierre, and O. Teytaud.
" Differential Evolution Algorithm Applied to Non-Stationary Bandit Problem".
D.L. St-Pierre, and J. Liu.
"A Mathematically Derived Number of Resamplings for Noisy Optimization".
J. Liu, D.L. St-Pierre, and O. Teytaud.
"Portfolios of Policies: the Nash and the Bandit Approaches".
D.L. St-Pierre, and O. Teytaud.
"Coevolutionary Monte Carlo Evaluation".
D.L. St-Pierre, J. Liu, J.-B. Hook and O. Teytaud.
"Sparse Zero-Sum Games".
D. Auger, S. Ruette, D.L. St-Pierre, and O. Teytaud.
"A Clustering Approach to Enhance a Monte-Carlo based Method for Expressions Generation".
D.L. St-Pierre, F. Schnitzler and Q. Louveaux.
"Enhanced Performance through the Sharing of Information for Adversarial Bandits".
D.L. St-Pierre, and O. Teytaud.
"Computational and Human Intelligence in Variants of Go".
I. Althoefer, T. Cazenave, C.-W. Chou, A. Couëtoux , H. Doghmen,
J.-B. Hoock , P. Jammes, C.-S. Lee, H.-H. Lin,
A. Saffdine, D. L. St-Pierre, F. Teytaud,
O. Teytaud, T.-T. Tso, M.-H. Wang,
N. Wedd, I-C. Wu, S.-J. Yen
Publications
"Sharing Information in Adversarial Bandit".
D.L. St-Pierre, and O. Teytaud. EvoStar, Granada, Spain, 2014.
"A Learning Procedure for Sampling Semantically Different Valid Expressions".
D.L. St-Pierre, F. Maes, D. Ernst and Q. Louveaux. to appear in International Journal of Artificial Intelligence , Spring 2014.
"Strategic Choices in Optimization".
Cheng-Wei Chou, Ping-Chiang Chou, Jean-Joseph Christophe, Adrien Couetoux, Pierre De Freminville, Nicolas Galichet, Chang-Shing Lee, Jia-Lin Liu, David Lupien Saint-Pierre,Michele Sebag, Olivier Teytaud, Mei-Hui Wang, Li-Wen Wu, Shi-Jim Yen.
to appear in JISE Special Issue on Emerging Technologies and Applications of
Artificial Intelligence , 2014.
"Contributions to Monte-Carlo Search".
D. L. St-Pierre, PhD thesis, 2013. BIB PDF
"Monte Carlo Search Algorithm Discovery for Single-Player Games".
F. Maes, D. L. St-Pierre, D. Ernst IEEE Transactions on Computational Intelligence and AI in Games , 2013. BIB PDF
"Strategic choices: Small Budgets and Simple Regret".
C.W. Chou, P.-C. Chou, C.-S. Lee, D. L. St-Pierre,
O. Teytaud, M.-H. Wang, L.-W. Wu, S.-J. Yen, IEEE Technologies and Applications
of Artificial Intelligence (TAAI), 2012. BIB PDF
"Comparison of Different Selection Strategies in Monte-Carlo Tree Search for the Game of Tron".
P. Perrick, D.L. St-Pierre, F. Maes and D. Ernst.
Conference on Computational Intelligence and Games (CIG 2012).
Granada, Spain. 2012.
BIB PDF
"Online Sparse bandit for Card Game".
D.L. St-Pierre, Q. Louveaux and O. Teytaud.
Advances in Computer Games (ACG 2011).
Tilburg, The Netherlands. 2011.
BIB PDF
"A selective move generator for the game axis and allies".
D.L. St-Pierre, M.H.M. Winands, and D.A. Watt.
Conference on Computational Intelligence and Games (CIG 2010).
Copenhagen, Denmark. 2010.
BIB PDF
Lupien St-Pierre D., Lagacé D., Abdul-Nour G., Negotiation based on economical transition lot determination in a network supply chain simulation, Proceeding of the 37th International Conference on Computers and Industrial Engineering, Egypt, 2007
