Large Scale Pursuit-Evasion Under Collision Avoidance Using Deep Reinforcement Learning
Helei Yang,Peng Ge,Junjie Cao,Yifan Yang,Yong Liu,Helei Yang,Peng Ge,Junjie Cao,Yifan Yang,Yong Liu
This paper examines a pursuit-evasion game (PEG) involving multiple pursuers and evaders. The decentralized pursuers aim to collaborate to capture the faster evaders while avoiding collisions. The policies of all agents are learning-based and are subjected to kinematic constraints that are specific to unicycles. To address the challenge of high dimensionality encountered in large-scale scenarios, ...
