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UID:20260510T053353EDT-6586I082ES@132.216.98.100
DTSTAMP:20260510T093353Z
DESCRIPTION:Virtual Informal Systems Seminar (VISS) Centre for Intelligent 
 Machines (CIM) and Groupe d'Etudes et de Recherche en Analyse des Decision
 s (GERAD)\n	\n	Zoom Link\n	Meeting ID: 910 7928 6959        Passcode: VISS\n	
 \n	Speaker: Mohamad Kazem Shirani Faradonbeh\, Assistant Professor\, Depart
 ment of Statistics\, University of Georgia\n	\n	Abstract:\n	Linear-Quadratic 
 regulators are canonical models in sequential decision-making. In adaptive
  control\, both the stochastic linear dynamics of the state vectors as wel
 l as the effect of control inputs are unknown. The goal is to effectively 
 learn from state observations to efficiently minimize a quadratic cost fun
 ction of state and input. For control under uncertainty\, decision-making 
 algorithms are desired to stabilize the system and estimate optimal adapti
 ve policies as quickly as possible. For this purpose\, the first challenge
  is design and analysis under system instability. Further challenges consi
 st of balancing the trade-off between control and identification. We prese
 nt easily implementable algorithms for accurate estimation and optimal act
 uation at the same time and provide novel analyses for establishing perfor
 mance guarantees.\n	\n	Bio:\n	Mohamad Kazem Shirani Faradonbeh is an assistan
 t professor of Data Science in the Department of Statistics at the Univers
 ity of Georgia. During Fall 2020\, he was a fellow of Theory of Reinforcem
 ent Learning program in Simons Institute for the Theory of Computing at th
 e University of California - Berkeley. From 2017 to 2020 he was a postdoct
 oral research associate with the Informatics Institute and with the Depart
 ment of Statistics at the University of Florida. He received his PhD degre
 e in statistics from the University of Michigan\, Ann Arbor in 2017\, and 
 his BSc degree in electrical engineering from Sharif University of Technol
 ogy\, Tehran\, Iran\, in 2012. \n	 \n
DTSTART:20210618T060000Z
DTEND:20210618T070000Z
LOCATION:CA\, ZOOM
SUMMARY:Adaptive Linear-Quadratic Regulators
URL:https://www.mcgill.ca/cim/channels/event/adaptive-linear-quadratic-regu
 lators-331372
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