AI RESEARCH
Delay-Aware Reinforcement Learning for Highway On-Ramp Merging under Stochastic Communication Latency
arXiv CS.AI
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ArXi:2403.11852v5 Announce Type: replace-cross 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 (V2I) links.