Self-Refining Agentic Reinforcement Learning for Vision-Conditioned UAV Navigation 事件

Self-Refining Agentic Reinforcement Learning for Vision-Conditioned UAV Navigation arXiv:2606.03963v1 Announce Type: cross Abstract: Deep reinforcement learning has shown strong potential for enabling autonomous robots to learn complex navigational tasks. However, its practical use still depends heavily on human designed reward functions and repeated manual fine tuning, which is time consuming and does not guarantee high success in the desired task. This paper presents AgenticRL, agent guided r