Calibrating a Motion Model Based on Reinforcement Learning for Pedestrian Simulation

Francisco Martinez-gil, Miguel Lozano, Fernando Fernández. Calibrating a Motion Model Based on Reinforcement Learning for Pedestrian Simulation. In Marcelo Kallmann, Kostas E. Bekris, editors, Motion in Games - 5th International Conference, MIG 2012, Rennes, France, November 15-17, 2012. Proceedings. Volume 7660 of Lecture Notes in Computer Science, pages 302-313, Springer, 2012. [doi]

@inproceedings{Martinez-GilLF12,
  title = {Calibrating a Motion Model Based on Reinforcement Learning for Pedestrian Simulation},
  author = {Francisco Martinez-gil and Miguel Lozano and Fernando Fernández},
  year = {2012},
  doi = {10.1007/978-3-642-34710-8_28},
  url = {http://dx.doi.org/10.1007/978-3-642-34710-8_28},
  researchr = {https://researchr.org/publication/Martinez-GilLF12},
  cites = {0},
  citedby = {0},
  pages = {302-313},
  booktitle = {Motion in Games - 5th International Conference, MIG 2012, Rennes, France, November 15-17, 2012. Proceedings},
  editor = {Marcelo Kallmann and Kostas E. Bekris},
  volume = {7660},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-34709-2},
}