Online Course Catalog

In order for autonomous systems to become prevalent and integrated into the human life, robots need to interact with various intelligent agents including humans and other autonomous systems. In other words, robots need to perform in multi-agent settings. Our goal in this course is to discuss algorithms that allow autonomous systems to successfully operate in multi-agent scenarios including both cooperative and non-cooperative settings. This course is a graduate level course where we will study concepts and algorithms in control theory, game theory, and machine learning that have led to major progress in the state-of-the-art multi-agent robotic systems. Students will develop skills in evaluating research papers and are expected to conduct a final research project.

4 hours

BS degree in engineering or science from an accredited college in the United States or an approved institution of higher learning abroad.

• Aerospace Engineering