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Risk-anticipatory autonomous driving strategies considering vehicles'
  weights, based on hierarchical deep reinforcement learning
v1v2 (latest)

Risk-anticipatory autonomous driving strategies considering vehicles' weights, based on hierarchical deep reinforcement learning

27 December 2023
Di Chen
Hao Li
Zhicheng Jin
H. Tu
Meixin Zhu
ArXiv (abs)PDFHTML

Papers citing "Risk-anticipatory autonomous driving strategies considering vehicles' weights, based on hierarchical deep reinforcement learning"

3 / 3 papers shown
Title
Orchestrate, Generate, Reflect: A VLM-Based Multi-Agent Collaboration Framework for Automated Driving Policy Learning
Orchestrate, Generate, Reflect: A VLM-Based Multi-Agent Collaboration Framework for Automated Driving Policy Learning
Zengqi Peng
Yusen Xie
Yubin Wang
Rui Yang
Qifeng Chen
Jun Ma
100
0
0
21 Sep 2025
Multi-Timescale Hierarchical Reinforcement Learning for Unified Behavior and Control of Autonomous Driving
Multi-Timescale Hierarchical Reinforcement Learning for Unified Behavior and Control of Autonomous DrivingIEEE Robotics and Automation Letters (IEEE RA-L), 2025
Guizhe Jin
Zhuoren Li
Bo Leng
Ran Yu
Lu Xiong
Chen Sun
193
0
0
30 Jun 2025
Towards a Reward-Free Reinforcement Learning Framework for Vehicle Control
Towards a Reward-Free Reinforcement Learning Framework for Vehicle Control
Jielong Yang
Daoyuan Huang
252
0
0
21 Feb 2025
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