IEEE

The Emergence of Deep Reinforcement Learning for Path Planning

Abstract: The increasing demand for autonomous systems in complex and dynamic environments has driven significant research into intelligent path planning methodologies. For decades, graph-based search ...
IEEE

A Deep Reinforcement Learning Approach for Multi-UAV Collaborative Coverage with Adaptive Step Size and Dynamic Reward Mechanism

Abstract: In multi-UAV cooperative area coverage tasks, the effectiveness of path planning directly impacts coverage efficiency and mission completion time. Traditional reinforcement learning (RL) ...