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Hybrid Car-Following Strategy based on Deep Deterministic Policy
  Gradient and Cooperative Adaptive Cruise Control

Hybrid Car-Following Strategy based on Deep Deterministic Policy Gradient and Cooperative Adaptive Cruise Control

24 February 2021
Ruidong Yan
Rui Jiang
Bin Jia
Jin Huang
Diange Yang
ArXivPDFHTML

Papers citing "Hybrid Car-Following Strategy based on Deep Deterministic Policy Gradient and Cooperative Adaptive Cruise Control"

6 / 6 papers shown
Title
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous
  Vehicles
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles
S. Aradi
252
440
0
30 Jan 2020
A Survey of Deep Learning Applications to Autonomous Vehicle Control
A Survey of Deep Learning Applications to Autonomous Vehicle Control
Sampo Kuutti
Richard Bowden
Yaochu Jin
P. Barber
Saber Fallah
72
515
0
23 Dec 2019
Longitudinal Dynamic versus Kinematic Models for Car-Following Control
  Using Deep Reinforcement Learning
Longitudinal Dynamic versus Kinematic Models for Car-Following Control Using Deep Reinforcement Learning
Yuan Lin
J. McPhee
N. L. Azad
AI4CE
38
34
0
07 May 2019
Safe, Efficient, and Comfortable Velocity Control based on Reinforcement
  Learning for Autonomous Driving
Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving
Meixin Zhu
Yinhai Wang
Ziyuan Pu
Jingyun Hu
X. Wang
Ruimin Ke
39
329
0
29 Jan 2019
A Review on Cooperative Adaptive Cruise Control (CACC) Systems:
  Architectures, Controls, and Applications
A Review on Cooperative Adaptive Cruise Control (CACC) Systems: Architectures, Controls, and Applications
Ziran Wang
Guoyuan Wu
Matthew Barth
22
160
0
08 Sep 2018
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
193
13,174
0
09 Sep 2015
1