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Ph.D. student Anup Menon is finalist for IEEE CDC best paper award

Ph.D. student Anup Menon is finalist for IEEE CDC best paper award


In December, ECE Ph.D. student Anup Menon was one of four student finalists for the best paper award at the 2013 IEEE Conference on Decision and Control in Florence, Italy.

His paper, “A Distributed Learning Algorithm with Bit-valued Communications for Multi-agent Welfare Optimization,” was inspired by recent work on learning in repeated games. The paper describes an algorithm that helps individual agents in an engineered multi-agent system "learn" to pick actions that correspond to a system-level (global) desirable outcome (welfare optimal). The algorithm is model free and the agents change their actions only on the basis of their observed individual payoffs/utility. It's proved that convergence is guaranteed so long as the union of implicit communications (an agent observing a change in its utility due to a change in another agents' actions) and explicit communications satisfy certain connectivity properties.

An earlier version of the paper was one of five finalists for the best student paper award at the 2013 American Control Conference. Menon is advised by Professor John Baras (ECE/ISR).

Related Articles:
John Baras named Fellow of Society for Industrial and Applied Mathematics
Khaligh wins Best Vehicular Electronics Paper Award two years running
Baras, Somasundaram, Jain, and Tabatabaee issued U.S. Patent 8,325,746
Baras Recognized with Two Greatest Economic Impact Awards
John Baras gives invited lecture at workshop on control of CPS systems
Khaligh and co-authors win IEEE Best Vehicular Electronics Paper Award
Alumna Mingyan Liu promoted to full professor; wins best paper award
Baras delivers distinguished lecture at the University of Michigan
Baras Gives Keynote at GE Symposium
Baras is PI for $1M NIST cooperative agreement

January 8, 2014


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