IEEE

Leveraging Propagation Delays: A Delay-Aware Multiagent Reinforcement Learning MAC Protocol for Underwater Acoustic Networks

Abstract: Underwater acoustic networks are typically distributed in nature and have been attracting much research interest recently. Such networks are characterized by long propagation delays, which ...
IEEE

LiDAR-Only Navigation of UGVs in Dynamic Environments via Graph Attention Networks and Deep Reinforcement Learning

Abstract: A novel deep reinforcement learning (DRL) framework is proposed for autonomous navigation of unmanned ground vehicles (UGVs) in dynamic environments using LiDAR data. Utilizing a Graph ...