"Q-Advantage Integrated Human-Guided Reinforcement Learning for Safe End-to-End Autonomous Driving"
收藏DataCite Commons2026-01-30 更新2026-05-03 收录
下载链接：
https://ieee-dataport.org/documents/q-advantage-integrated-human-guided-reinforcement-learning-safe-end-end-autonomous
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资源简介：
"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."
提供机构：
IEEE DataPort
创建时间：
2026-01-30
