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DTSTAMP:20191114T164629
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SUMMARY:Talk of Prof. Maryam Kamgarpour
DESCRIPTION:Prof. Maryam Kamgarpour\nAutomatic Control Laboratory\nSwiss Federal Institute of Technology\nZurich, Switzerland  \nTuesday 2019-11-19 16:00\nIST-Seminar-Room V9.2.255 - Pfaffenwaldring 9 - Campus Stuttgart-Vaihingen  \nAbstract\nA rising challenge in control of large-scale control systems such as the electricity and the\ntransportation networks is to address autonomous decision making of interacting agents, i.e. the\nsubsystems, with local objectives while ensuring global system safety and performance. In this\nsetting, a Nash equilibrium is a stable solution outcome in the sense that no agent finds it\nprofitable to unilaterally deviate from her decision. Due to geographic distance, privacy concerns\nor simply the scale of these systems, each agent can only base her decision on local measurements.\nHence, a fundamental question is: do agents learn to play a Nash equilibrium strategy based only on\nlocal information? I will discuss conditions under which we have an affirmative answer to this\nquestion and will present algorithms that achieve this learning task.\nBiographical Information\nMaryam Kamgarpour is an assistant professor at ETH Zurich, Automatic Control Laboratory. She\nholds a Doctor of Philosophy in Engineering from the University of California, Berkeley and a\nBachelor of Applied Science from the University of Waterloo, Canada. Her research is on multi-agent\ndecision-making and control, game theory, mixed integer and stochastic optimization and control.\nHer theoretical research is driven by control challenges arising in intelligent transportation\nnetworks, robotics and power grid systems. She is the recipient of the NASA High Potential\nIndividual Award, NASA Excellence in Publication Award, and the European Union (ERC) Starting\nGrant.
DTSTART;TZID=Europe/Berlin;VALUE=DATE:20191119
URL;VALUE=URI:https://www.ist.uni-stuttgart.de/events/Talk-of-Prof-00001.-Maryam-Kamgarpour/
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