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Addressing crash-imminent situations caused by human driven vehicle
  errors in a mixed traffic stream: a model-based reinforcement learning
  approach for CAV

Addressing crash-imminent situations caused by human driven vehicle errors in a mixed traffic stream: a model-based reinforcement learning approach for CAV

11 October 2021
Jiqian Dong
Sikai Chen
Samuel Labi
ArXiv (abs)PDFHTML

Papers citing "Addressing crash-imminent situations caused by human driven vehicle errors in a mixed traffic stream: a model-based reinforcement learning approach for CAV"

3 / 3 papers shown
Title
Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory control
Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory controlCommunications in Transportation Research (CTR), 2024
Zihao Sheng
Zilin Huang
Sikai Chen
227
15
0
30 Aug 2024
Deep Reinforcement Learning Based Framework for Mobile Energy
  Disseminator Dispatching to Charge On-the-Road Electric Vehicles
Deep Reinforcement Learning Based Framework for Mobile Energy Disseminator Dispatching to Charge On-the-Road Electric Vehicles
Jiaming Wang
Jiqian Dong
Sikai Chen
S. Sundaram
Samuel Labi
160
0
0
29 Aug 2023
Transfusor: Transformer Diffusor for Controllable Human-like Generation
  of Vehicle Lane Changing Trajectories
Transfusor: Transformer Diffusor for Controllable Human-like Generation of Vehicle Lane Changing Trajectories
Jiqian Dong
Sikai Chen
Samuel Labi
116
2
0
28 Aug 2023
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