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Professor Nuno Martins (ECE/ISR), his former student Shinku Park (EE Ph.D. 2015) and Professor Jeff Shamma of King Abdullah University of Science and Technology (KAUST) led a tutorial session on "Payoff Dynamics and Higher-Order Learning in Population Games" at IEEE’s 58th Conference on Decision and Control in December.

The session was based on the group's recent research. They discussed a theoretical framework and analytic methods to determine the time-evolution of strategy choices, out of a finite set with n elements, by the members of a large population in response to a payoff mechanism. They adopted a evolutionary dynamic paradigm according to which the members of the population repeatedly revise their strategy choices according to a given mechanism modeled by a so-called revision protocol. They show the deterministic payoff approximates the payoff of an associated finite population formulation with increasing fidelity as the size of the population tends to infinity.

Alumnus Park is currently an associate research scholar at Princeton University, working with ISR alumna Naomi Leonard (EE Ph.D. 1994), the Edwin S. Wilsey Professor of Mechanical and Aerospace Engineering. His current research interests are in robotics, multi-robot control, control theory, and game theory. From January to June in 2016, he was a postdoctoral researcher at the National Geographic Society, where he continued to work with Nuno Martins on distributed decision problems in multi-agent systems with applications to analysis of animal group behavior. (See our ISR coverage of that research here.) From June 2016 to May 2019, Park was a Postdoctoral Associate at Massachusetts Institute of Technology, where his research focused on conceiving a fleet of reconfigurable robotic vessels in the Roboat project. He also developed a distributed sensing/sampling platform for the urban epidemiology project, Underworlds.

| download slides from the session | view a related paper |

 



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January 17, 2020


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