ESE Ph.D. Thesis Defense: “Symmetries Infused Safe & Scalable Multi-Robot Policies”
Multi-agent systems are increasingly deployed autonomously in complex, real-world environments. Yet the black-box nature of deep policy learning approaches — despite their universal approximation power enabling coordinated, emergent behaviors — […]