Multi-Agent Environment Design

Efficient design for maximized performance of multi-agent systems


Multi-Agent Environment Design enables the principled design of a diverse range of multi-agent settings. The input includes an initial environment, a description of agents (human users or artificial autonomous agents) that may be active within it, and a set of applicable design modifications. The challenge is to efficiently search through the typically large space of design options for a valid solution that maximizes a targeted objective, expressed via some utility measure. My work over the past few years has focused on developing a variety of multi-agent settings that can be enhanced via design and that vary in three ways: their targeted utility; the approaches that can be applied to find the optimal design solution; and the real world applications to which these settings correspond. The importance of this work is both theoretical, namely the development of principled design tools, and practical. My current research investigates the use of design to enhance multi-robot and human-robot collaboration

Have a look at my publication page to see my recent publications

Check out ROBIS system we are working on to support environment design for robotics 



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