A Regression Approach for Modeling Games With Many Symmetric Players. - Bryce Wiedenbeck; Fengjun Yang; Michael P. Wellman (AAAI, 2018)

Communication Topology Co-Design in Graph Recurrent Neural Network based Distributed Control. - Fengjun Yang; Nikolai Matni (CDC, 2021)

Decentralized Role Assignment in Multi-Agent Teams via Empirical Game-Theoretic Analysis. - Fengjun Yang; Negar Mehr; Mac Schwager (CoRR, 2021)

Data-driven Distributed and Localized Model Predictive Control. - Carmen Amo Alonso; Fengjun Yang; Nikolai Matni (CoRR, 2021)

Distributed Optimal Control of Graph Symmetric Systems via Graph Filters. - Fengjun Yang; Fernando Gama; Somayeh Sojoudi; Nikolai Matni (CDC, 2022)

A Data-Driven Approach to Synthesizing Dynamics-Aware Trajectories for Underactuated Robotic Systems. - Anusha Srikanthan; Fengjun Yang; Igor Spasojevic; Dinesh Thakur; Vijay Kumar 001; Nikolai Matni (IROS, 2023)

Toward Certified Robustness Against Real-World Distribution Shifts. - Haoze Wu 001; Teruhiro Tagomori; Alexander Robey; Fengjun Yang; Nikolai Matni; George J. Pappas; Hamed Hassani; Corina S. Pasareanu; Clark W. Barrett (SaTML, 2023)

Coordinating Planning and Tracking in Layered Control Policies via Actor-Critic Learning. - Fengjun Yang; Nikolai Matni (CDC, 2024)

Learning Flatness-Preserving Residuals for Pure-Feedback Systems. - Fengjun Yang; Jake Welde; Nikolai Matni (CoRR, 2025)