Xiao-Cheng Lin

Teacher-Guided Asymmetric Reinforcement Learning for End-to-End Visual Navigation of UAVs

Autonomous navigation of low-altitude unmanned aerial vehicles (UAVs) in cluttered environments is challenging due to partial observability, limited onboard perception, and inefficient exploration in end-to-end reinforcement learning. This paper proposes a teacher-guided asymmetric reinforcement learning framework for...