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Safe, Efficient, and Comfortable Velocity Control based on Reinforcement
  Learning for Autonomous Driving
v1v2 (latest)

Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving

Transportation Research Part C: Emerging Technologies (TRC), 2019
29 January 2019
Meixin Zhu
Yinhai Wang
Ziyuan Pu
Jingyun Hu
X. Wang
Ruimin Ke
ArXiv (abs)PDFHTML

Papers citing "Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving"

14 / 64 papers shown
Title
Deep Reinforcement Learning Aided Platoon Control Relying on V2X
  Information
Deep Reinforcement Learning Aided Platoon Control Relying on V2X InformationIEEE Transactions on Vehicular Technology (IEEE Trans. Veh. Technol.), 2022
Lei Lei
Tong Liu
Kan Zheng
L. Hanzo
249
39
0
28 Mar 2022
Bilateral Deep Reinforcement Learning Approach for Better-than-human Car
  Following Model
Bilateral Deep Reinforcement Learning Approach for Better-than-human Car Following Model
Tianyu Shi
Yi Ai
Omar ElSamadisy
Baher Abdulhai
OffRL
131
11
0
03 Mar 2022
TransFollower: Long-Sequence Car-Following Trajectory Prediction through
  Transformer
TransFollower: Long-Sequence Car-Following Trajectory Prediction through TransformerSocial Science Research Network (SSRN), 2022
Meixin Zhu
S. Du
X. Wang
Hao
Hao Yang
Ziyuan Pu
Yinhai Wang
ViT
118
22
0
04 Feb 2022
A Safety-Critical Decision Making and Control Framework Combining
  Machine Learning and Rule-based Algorithms
A Safety-Critical Decision Making and Control Framework Combining Machine Learning and Rule-based Algorithms
Andrei Aksjonov
Ville Kyrki
102
4
0
30 Jan 2022
Reliably-stabilizing piecewise-affine neural network controllers
Reliably-stabilizing piecewise-affine neural network controllersIEEE Transactions on Automatic Control (IEEE TAC), 2021
F. Fabiani
Paul Goulart
206
43
0
13 Nov 2021
Formulation and validation of a car-following model based on deep
  reinforcement learning
Formulation and validation of a car-following model based on deep reinforcement learning
Fabian Hart
Ostap Okhrin
M. Treiber
179
30
0
29 Sep 2021
SAINT-ACC: Safety-Aware Intelligent Adaptive Cruise Control for
  Autonomous Vehicles Using Deep Reinforcement Learning
SAINT-ACC: Safety-Aware Intelligent Adaptive Cruise Control for Autonomous Vehicles Using Deep Reinforcement LearningInternational Conference on Machine Learning (ICML), 2021
Lokesh Chandra Das
M. Won
74
17
0
06 Mar 2021
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 ControlIEEE Transactions on Automation Science and Engineering (T-ASE), 2021
Ruidong Yan
Rui Jiang
Bin Jia
Jin Huang
Diange Yang
182
52
0
24 Feb 2021
Learning from Simulation, Racing in Reality
Learning from Simulation, Racing in RealityIEEE International Conference on Robotics and Automation (ICRA), 2020
Eugenio Chisari
Alexander Liniger
Alisa Rupenyan
Luc Van Gool
John Lygeros
179
29
0
26 Nov 2020
Deep Reinforcement Learning and Transportation Research: A Comprehensive
  Review
Deep Reinforcement Learning and Transportation Research: A Comprehensive Review
Nahid Parvez Farazi
T. Ahamed
Limon Barua
Bo Zou
AI4TS
123
20
0
13 Oct 2020
Dampen the Stop-and-Go Traffic with Connected and Automated Vehicles --
  A Deep Reinforcement Learning Approach
Dampen the Stop-and-Go Traffic with Connected and Automated Vehicles -- A Deep Reinforcement Learning Approach
Liming Jiang
Yuanchang Xie
Danjue Chen
Tienan Li
Nicholas G. Evans
160
19
0
17 May 2020
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous
  Vehicles
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles
S. Aradi
776
531
0
30 Jan 2020
Distributed Vehicular Computing at the Dawn of 5G: a Survey
Distributed Vehicular Computing at the Dawn of 5G: a Survey
A. Alhilal
Benjamin Finley
Tristan Braud
Dongzhe Su
Pan Hui
147
16
0
20 Jan 2020
Personalized Context-Aware Multi-Modal Transportation Recommendation
Personalized Context-Aware Multi-Modal Transportation Recommendation
Meixin Zhu
Jingyun Hu
Hao
Hao Yang
Ziyuan Pu
Yinhai Wang
AI4TS
113
3
0
13 Oct 2019
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