Wenming Zhe

Collision Avoidance Among Dense Heterogeneous Agents Using Deep Reinforcement Learning

Navigating in a complex congested social environment without collision is a crucial and challenging task. Recent studies have demonstrated the considerable success of Deep Reinforcement Learning (DRL) in multi-agent collision avoidance. However, the assumption of these studies that agents are homoge