A survey of deep rl and il for autonomous driving policy learning

Z Zhu, H Zhao - IEEE Transactions on Intelligent Transportation …, 2021 - ieeexplore.ieee.org
Autonomous driving (AD) agents generate driving policies based on online perception
results, which are obtained at multiple levels of abstraction, eg, behavior planning, motion …
被引用次数：132 相关文章

A Survey of Deep RL and IL for Autonomous Driving Policy Learning

Z Zhu, H Zhao - IEEE Transactions on Intelligent Transportation …, 2022 - trid.trb.org
Autonomous driving (AD) agents generate driving policies based on online perception
results, which are obtained at multiple levels of abstraction, eg, behavior planning, motion …

A Survey of Deep RL and IL for Autonomous Driving Policy Learning

Z Zhu, H Zhao - IEEE Transactions on Intelligent Transportation …, 2022 - dl.acm.org
Autonomous driving (AD) agents generate driving policies based on online perception
results, which are obtained at multiple levels of abstraction, eg, behavior planning, motion …

A Survey of Deep RL and IL for Autonomous Driving Policy Learning

Z Zhu, H Zhao - arXiv preprint arXiv:2101.01993, 2021 - arxiv.org
Autonomous driving (AD) agents generate driving policies based on online perception
results, which are obtained at multiple levels of abstraction, eg, behavior planning, motion …

A Survey of Deep RL and IL for Autonomous Driving Policy Learning

Z Zhu, H Zhao - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Autonomous driving (AD) agents generate driving policies based on online perception
results, which are obtained at multiple levels of abstraction, eg, behavior planning, motion …