1.0

Average Course Rating

We are witnessing the rapid emergence of autonomous AI agents that are reshaping socio-technical systems across domains such as robotics, transportation, online marketplaces, logistics, and energy. While much progress has been made in designing agents that operate independently, fundamental challenges remain when these agents interact strategically in multi-agent environments. This raises two core questions: How can we design optimal decision-making algorithms for autonomous agents operating in strategic settings? And how can we align their behavior with societal goals such as efficiency, equity, and safety? This seminar course will address these questions through weekly meetings, featuring invited talks from leading researchers around the world (either in-person or virtually) in the areas of learning and incentive design for multi-agent autonomous systems.