Delay-Aware Reinforcement Learning for Highway On-Ramp Merging under Stochastic Communication Latency 事件

Delay-Aware Reinforcement Learning for Highway On-Ramp Merging under Stochastic Communication Latency arXiv:2403.11852v5 Announce Type: replace-cross Abstract: Delayed and partially observable state information poses significant challenges for reinforcement learning (RL)-based control in real-world autonomous driving. In highway on-ramp merging, a roadside unit (RSU) can sense nearby traffic, perform edge perception, and transmit state estimates to the ego vehicle over vehicle-to-infrastructure