Simulation of Vehicle Interaction Behavior in Merging Scenarios: A Deep Maximum Entropy-Inverse Reinforcement Learning Method Combined With Game Theory

Wenli Li, Fanke Qiu, Lingxi Li, Yinan Zhang, Kan Wang. Simulation of Vehicle Interaction Behavior in Merging Scenarios: A Deep Maximum Entropy-Inverse Reinforcement Learning Method Combined With Game Theory. IEEE Trans. Intelligent Vehicles, 9(1):1079-1093, January 2024. [doi]

@article{LiQLZW24,
  title = {Simulation of Vehicle Interaction Behavior in Merging Scenarios: A Deep Maximum Entropy-Inverse Reinforcement Learning Method Combined With Game Theory},
  author = {Wenli Li and Fanke Qiu and Lingxi Li and Yinan Zhang and Kan Wang},
  year = {2024},
  month = {January},
  doi = {10.1109/TIV.2023.3323138},
  url = {https://doi.org/10.1109/TIV.2023.3323138},
  researchr = {https://researchr.org/publication/LiQLZW24},
  cites = {0},
  citedby = {0},
  journal = {IEEE Trans. Intelligent Vehicles},
  volume = {9},
  number = {1},
  pages = {1079-1093},
}