Autonomous overtaking for intelligent vehicles considering social preference based on hierarchical reinforcement learning

HIGHLIGHTS

  • who: Hongliang Lu from the Beijing Institute of Technology, Beijing, China have published the Article: Autonomous Overtaking for Intelligent Vehicles Considering Social Preference Based on Hierarchical Reinforcement Learning, in the Journal: (JOURNAL)
  • what: This paper proposes an MDP-based module to ensure that a proper overtaking decision can be made when OVs have different social preferences. In this AOS, the high-level module is the MDP-based module proposed in this paper, and the lowlevel module is the Semi-Markov decision process based (SMDP-based) decision module proposed in Ref . It is because the social . . .

     

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