"Q-Advantage Integrated Human-Guided Reinforcement Learning for Safe End-to-End Autonomous Driving"

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Authors: Yong Ming Wang, Pei Wang
Cited by: 0

Abstract

"This dataset contains the full implementation of the proposed Q-Advantage Integrated Human-Guided Reinforcement Learning (QIHG-RL) framework. The package includes PyTorch-based training scripts, model architectures, the Q-advantage integration module, prioritized replay buffer, and evaluation tools used in the experiments reported in the manuscript. The code enables full reproducibility of the experiments across the three safety-critical autonomous driving tasks."

Fields of Study & Subjects

Reinforcement Learning in Robotics Autonomous Vehicle Technology and Safety Traffic and Road Safety

Publication details

Journal / source
IEEE DataPort
Publication date
30 January 2026
Document type
Dataset