Distributed Decision-Making and Learning Lab

Welcome to the Distributed Decision-Making and Learning Lab at UConn (D2L2)! We design, analyze, control, and verify networked autonomous systems. Our research lies at the intersection of control theory, graph theory, game theory, cyber-physical systems, and machine learning, with recent interests in the design of safe and resilient networked multi-agent systems. Using the link below you will find some recent research areas we're currently working on.

Our Research

• Hierarchical Resilient Architecture of Networked Cyber-Physical Systems Against Attacks
• Attack-Resilient Reinforcement Learning for Heterogeneous Multi-Agent Systems
• Resilient and Optimal Hierarchical Control of Clustered DC Microgrids against FDI Attacks

Learn More About Our Research