USV Collision Avoidance via DRL With Spatiotemporal Expert Guidance: From Threat Attention to Safety Shield
Deep reinforcement learning (DRL) provides an end-to-end approach to collision avoidance for uncrewed surface vehicles (USVs). However, it typically exhibits inadequate threat perception capabilities and low sample efficiency in complex environments. To address these challenges, a DRL-based framework that couples beam-...