Learning Control and Games of Networked Systems

Chair:
Bingchang Wang  Shandong University, China

Key Words: Stochastic games, Optimal control, Multiagent systems, Reinforcement learning, Stackelberg games, Mean field games

Information: This invited session focuses on learning control and games of networked systems, and includes topics of stochastic games, optimal control, multiagent systems, reinforcement learning, Stackelberg games and mean field games.

Topics of interest include but are not limited to:

• Stochastic Optimal Control
• Data-Driven Stochastic Differential Games
• Mean Field Stackelberg Games
• Optimal Control of Networked Dynamic Systems
• Stochastic Optimal Control of Networked Systems
• Mean Field Policy Iteration Algorithms
• Inverse Reinforcement Learning for Games
• Adaptive Distributed Learning Control
  

Submission Deadline: April 28, 2026 (the first round)