Scalable Reinforcement Learning Policies for Multi-Agent Control. - Christopher D. Hsu; Heejin Jeong; George J. Pappas; Pratik Chaudhari (IROS, 2021)

Strategic Maneuver and Disruption with Reinforcement Learning Approaches for Multi-Agent Coordination. - Derrik E. Asher; Anjon Basak; Rolando Fernandez; Piyush K. Sharma; Erin G. Zaroukian; Christopher D. Hsu; Michael R. Dorothy; Thomas Mahre; Gerardo Galindo; Luke Frerichs; John Rogers; John Fossaceca (CoRR, 2022)

A Model for Perimeter-Defense Problems with Heterogeneous Teams. - Christopher D. Hsu; Mulugeta A. Haile; Pratik Chaudhari (CoRR, 2022)

Active Perception using Neural Radiance Fields. - Siming He; Christopher D. Hsu; Dexter Ong; Yifei Simon Shao; Pratik Chaudhari (ACC, 2024)

A Model for Multi-Agent Heterogeneous Interaction Problems. - Christopher D. Hsu; Mulugeta A. Haile; Pratik Chaudhari (ACC, 2024)

Active Scout: Multi-Target Tracking Using Neural Radiance Fields in Dense Urban Environments. - Christopher D. Hsu; Pratik Chaudhari (IROS, 2024)