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Computer Engineering and Systems Group

Texas A&M University College of Engineering

CESG Seminar: Dr. Vijay Subramanian

Posted on April 18, 2022 by Vickie Winston

Friday, April 29, 2022
4:10 – 5:00 p.m.
Zoom: https://tamu.zoom.us/j/96343481647
 
Dr. Vijay Subramanian
Associate Professor in the EECS at the University of Michigan, Ann Arbor, MI

Talking Points

  • Multi-agent dynamic games with asymmetric information
  • Information states
  • Compression based equilibria
  • Sequential decomposition

Title
“Games in Multi-Agent Dynamic Systems: Decision-Making with Compressed Information”

Abstract
The model of multi-agent dynamic systems has a wide range of applications in numerous socioeconomic and engineering settings: spectrum markets, e-commerce, transportation networks, power systems, etc. In this model, each agent takes  actions over time to interact with the underlying system as well as each other to achieve their respective objectives. In many applications of this model, agents have access to a huge amount of information that increases over time. Determining solutions of such multi-agent dynamic games can be complicated due to the huge domains of strategies. Meanwhile, agents have restrictions on their computational power and communication capability as well as latency limitations, which prevent them from implementing complicated strategies. Therefore, it is important to identify suitable compression schemes so that at equilibrium each agent can make decisions based on a compressed version of their information instead of the full information. However, compression of information could result in loss of some or all equilibrium outcomes. This talk  presents results on this issue for a general class of multi-agent dynamic games, and designs and analyzes appropriate  information compression schemes. Our results highlight the tension among information compression, preservation of  equilibrium outcomes, and applicability of sequential decomposition algorithms to find compression-based equilibria. This is joint work with Dengwang Tang (University of California, Berkeley) and Demos Teneketzis (University of Michigan).

Biography
Vijay Subramanian received the Ph.D. degree in electrical engineering from the University of Illinois at Urbana-Champaign,  Champaign, IL, USA, in 1999. He worked at Motorola Inc., at the Hamilton Institute, Maynooth, Ireland, for many years, and in the EECS Department, Northwestern University, Evanston, IL, USA. In Fall 2014, he started in his current position as Associate Professor with the  EECS Department at the University of Michigan, Ann Arbor. His research interests are in stochastic analysis, random  graphs, multi-agent systems, and game theory (mechanism and information design) with applications to social, economic and technological networks.


Dr. Subramanian: https://subramanian.engin.umich.edu

On Zoom @ 4:10 p.m. on Friday, 4/29/22

Join Zoom Meeting
https://tamu.zoom.us/j/96343481647
Meeting ID: 963 4348 1647

Filed Under: Uncategorized

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