Speaker：

Rasoul Etesami (University of Illinois Urbana-Champaign)

Time：

Tues. & Thur., 9:50-11:25 am,

May 20- August 12, 2025

Venue：

C548, Shuangqing Complex Building A

Online：

Zoom Meeting ID: 276 366 7254

Passcode: YMSC

Discription:

In recent years, a broad array of studies on learning in multiagent systems has emerged across diverse fields, including operations research, computer science, engineering, and applied mathematics. On one hand, due to the lack of centralized coordination or information in many applications, distributed multiagent decision systems have become the focal point of numerous new areas, such as the growing popularity of online social networks, the analysis of large-scale network data, and challenges arising from interactions among agents in wireless networks, smart grids, formation control, robotic rendezvous, and socioeconomic systems. On the other hand, thanks to recent advances in Artificial Intelligence, it is now possible to obtain satisfactory solutions to many complex problems where classical approaches either fail or yield weak results.