Longitudinal dynamic versus kinematic models for car-following control using deep reinforcement learning

Y Lin, J McPhee, NL Azad - 2019 IEEE Intelligent …, 2019 - ieeexplore.ieee.org
The majority of current studies on autonomous vehicle control via deep reinforcement
learning (DRL) utilize point-mass kinematic models, neglecting vehicle dynamics which …
被引用次数：42 相关文章

Longitudinal Dynamic versus Kinematic Models for Car-Following Control Using Deep Reinforcement Learning

Y Lin, J McPhee, NL Azad - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
The majority of current studies on autonomous vehicle control via deep reinforcement
learning (DRL) utilize point-mass kinematic models, neglecting vehicle dynamics which …

Longitudinal Dynamic versus Kinematic Models for Car-Following Control Using Deep Reinforcement Learning

Y Lin, J McPhee, NL Azad - arXiv preprint arXiv:1905.08314, 2019 - arxiv.org
The majority of current studies on autonomous vehicle control via deep reinforcement
learning (DRL) utilize point-mass kinematic models, neglecting vehicle dynamics which …

Longitudinal Dynamic versus Kinematic Models for Car-Following Control Using Deep Reinforcement Learning

Y Lin, J McPhee, NL Azad - 2019 IEEE Intelligent Transportation Systems …, 2019 - dl.acm.org
The majority of current studies on autonomous vehicle control via deep reinforcement
learning (DRL) utilize point-mass kinematic models, neglecting vehicle dynamics which …