The 290 courses cover current topics of research interest in electrical engineering. The course content may vary from semester to semester.

The objective of this course is to explore current research themes in multi-agent interactions, mostly focused on modeling and control complexities inherent in these systems. In the initial course segment, we will consider cooperative multi-agent systems, covering topics like multi- agent consensus, formation control, coverage control, and sensor deployment. Transitioning into the latter part of the course, our focus will shift to noncooperative interactions, using tools from dynamic game theory. This phase will cover the significance of game-theoretic concepts along with their limitations. We will cover three interconnected themes: (1) static games and complementarity programming, (2) dynamic game theory, and (3) specialized subjects in game theory and multi-agent reinforcement learning with applications in robotics.

Repeat Rules