RACE-SM: Reinforcement Learning Based Autonomous Control for Social On-Ramp Merging

arXiv:2403.03359v1 Announce Type: cross
Abstract: Autonomous parallel-style on-ramp merging in human controlled traffic continues to be an existing issue for autonomous vehicle control. Existing non-learning based solutions for vehicle control rely on rules and optimization primarily. These methods have been seen to present significant challenges. Recent advancements in Deep Reinforcement Learning have shown promise and have received significant academic interest however the available learning based approaches show inadequate attention to other highway vehicles and often rely on inaccurate road traffic …

abstract arxiv autonomous autonomous vehicle challenges control cs.ai cs.lg cs.ro human issue merging optimization race ramp reinforcement reinforcement learning rules social solutions style traffic type