Topics in Multiagent Learning

<p>While machine learning techniques have had significant success in single-agent settings, an increasingly large body of literature has been studying settings involving several learning agents with different objectives. In these settings, standard training methods such as gradient descent are less successful and the simultaneous learning of the agents commonly leads to non-stationary and even chaotic system dynamics.&nbsp;</p> <p>Motivated by these challenges, this course presents the foundati…

The syllabus, on MIT OpenCourseWare

The full course — syllabus, assigned readings, problem sets, exams, and lecture notes — lives on OCW. These open the real thing: