2 papers
cs.RO2025
Symmetry-Guided Multi-Agent Inverse Reinforcement Learning
Yongkai Tian, Yirong Qi, Xin Yu +2
In robotic systems, the performance of reinforcement learning depends on the rationality of predefined reward functions. However, manually designed reward functions often lead to p…
cs.AI2025
Embedded Mean Field Reinforcement Learning for Perimeter-defense Game
Li Wang, Xin Yu, Xuxin Lv +2
With the rapid advancement of unmanned aerial vehicles (UAVs) and missile technologies, perimeter-defense game between attackers and defenders for the protection of critical region…