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Combined Learning: An Overview
| What |
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|---|---|
| When |
Feb 27, 2012 from 01:00 PM to 02:00 PM |
| Where | ENGR. IV Bldg. 54-134 Shannon Room |
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Tembine Hamidou - Ecole Sperieure d’Electricite, Supelec, France
Abstract:
Distributed strategic learning and game dynamics are frequently met in dynamic
decision-making environment. In presence of imperfect observations, time delays and noisy
measurements, good estimators are crucial for finding optimal, locally optimal and stable
configurations. This talk will overview various combined fully distributed payoff and strategy
(CODIPAS) learning in games under uncertainties. Convergence, stability and efficiency issues
will be discussed.
Biography:
Hamidou Tembine received two Master degrees respectively from Ecole Polytechnique and University Joseph Fourier. He received a PhD degree in computer science, Avignon University, France. He is an assistant professor at Ecole Superieure d'Electricite (Supelec, France). His current research interests include evolutionary games, mean field stochastic games and applications. He was the recipient of many student travel grant awards and best paper awards (ACM Valuetools 2007, IFIP Networking 2008, IEEE/ACM WiOpt 2009, IEEE Infocom Workshop 2011).
