Driving behavior modeling using naturalistic human driving data with inverse reinforcement learning

Z Huang, J Wu, C Lv - IEEE transactions on intelligent …, 2021 - ieeexplore.ieee.org
Driving behavior modeling is of great importance for designing safe, smart, and
personalized autonomous driving systems. In this paper, an internal reward function-based …
被引用次数：133 相关文章

Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning

Z Huang, J Wu, C Lv - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Driving behavior modeling is of great importance for designing safe, smart, and
personalized autonomous driving systems. In this paper, an internal reward function-based …

Driving Behavior Modeling Using Naturalistic Human Driving Data With Inverse Reinforcement Learning

Z Huang, J Wu, C Lv - IEEE Transactions on Intelligent Transportation …, 2022 - trid.trb.org
Driving behavior modeling is of great importance for designing safe, smart, and
personalized autonomous driving systems. In this paper, an internal reward function-based …

Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning

Z Huang, J Wu, C Lv - arXiv preprint arXiv:2010.03118, 2020 - arxiv.org
Driving behavior modeling is of great importance for designing safe, smart, and
personalized autonomous driving systems. In this paper, an internal reward function-based …

Driving behavior modeling using naturalistic human driving data with inverse reinforcement learning

Z Huang, J Wu, C Lv - IEEE transactions on intelligent transportation …, 2022 - safetylit.org
Driving behavior modeling is of great importance for designing safe, smart, and
personalized autonomous driving systems. In this paper, an internal reward function-based …

Driving behavior modeling using naturalistic human driving data with inverse reinforcement learning

Z Huang, J Wu, C Lv - IEEE transactions on intelligent transportation …, 2022 - safetylit.org
Driving behavior modeling is of great importance for designing safe, smart, and
personalized autonomous driving systems. In this paper, an internal reward function-based …