Differential Game

Differential games model strategic interactions between multiple agents pursuing conflicting objectives within a continuous-time dynamic system. Current research emphasizes applications in robotics (pursuit-evasion, surveillance), autonomous systems (spacecraft control, vehicle navigation), and reinforcement learning (robust control, multi-agent cooperation), often employing techniques like Hamilton-Jacobi equations, deep reinforcement learning, and neural networks to approximate solutions. These studies contribute to a deeper understanding of optimal strategies in competitive and cooperative scenarios, with implications for designing safer, more efficient, and robust autonomous systems across various domains.