Bounded Rational RRT-QX: Multi-Agent Motion Planning in Dynamic Human-Like Environments Using Cognitive Hierarchy and Q-Learning

Josh Netter, George P. Kontoudis, Kyriakos G. Vamvoudakis. Bounded Rational RRT-QX: Multi-Agent Motion Planning in Dynamic Human-Like Environments Using Cognitive Hierarchy and Q-Learning. In 60th IEEE Conference on Decision and Control, CDC 2021, Austin, TX, USA, December 14-17, 2021. pages 3597-3602, IEEE, 2021. [doi]

@inproceedings{NetterKV21,
  title = {Bounded Rational RRT-QX: Multi-Agent Motion Planning in Dynamic Human-Like Environments Using Cognitive Hierarchy and Q-Learning},
  author = {Josh Netter and George P. Kontoudis and Kyriakos G. Vamvoudakis},
  year = {2021},
  doi = {10.1109/CDC45484.2021.9683761},
  url = {https://doi.org/10.1109/CDC45484.2021.9683761},
  researchr = {https://researchr.org/publication/NetterKV21},
  cites = {0},
  citedby = {0},
  pages = {3597-3602},
  booktitle = {60th IEEE Conference on Decision and Control, CDC 2021, Austin, TX, USA, December 14-17, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-3659-5},
}