Emergent Collective Behaviors in a Multi-agent Reinforcement Learning Pedestrian Simulation: A Case Study

Francisco Martinez-gil, Miguel Lozano, Fernando Fernández. Emergent Collective Behaviors in a Multi-agent Reinforcement Learning Pedestrian Simulation: A Case Study. In Francisco Grimaldo, Emma Norling, editors, Multi-Agent-Based Simulation XV - International Workshop, MABS 2014, Paris, France, May 5-6, 2014, Revised Selected Papers. Volume 9002 of Lecture Notes in Computer Science, pages 228-238, Springer, 2014. [doi]

@inproceedings{Martinez-GilLF14-0,
  title = {Emergent Collective Behaviors in a Multi-agent Reinforcement Learning Pedestrian Simulation: A Case Study},
  author = {Francisco Martinez-gil and Miguel Lozano and Fernando Fernández},
  year = {2014},
  doi = {10.1007/978-3-319-14627-0_16},
  url = {http://dx.doi.org/10.1007/978-3-319-14627-0_16},
  researchr = {https://researchr.org/publication/Martinez-GilLF14-0},
  cites = {0},
  citedby = {0},
  pages = {228-238},
  booktitle = {Multi-Agent-Based Simulation XV - International Workshop, MABS 2014, Paris, France, May 5-6, 2014, Revised Selected Papers},
  editor = {Francisco Grimaldo and Emma Norling},
  volume = {9002},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-14626-3},
}