A Bayesian Approach for Learning and Tracking Switching, Non-Stationary Opponents: (Extended Abstract)

Pablo Hernandez-Leal, Benjamin Rosman, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote. A Bayesian Approach for Learning and Tracking Switching, Non-Stationary Opponents: (Extended Abstract). In Catholijn M. Jonker, Stacy Marsella, John Thangarajah, Karl Tuyls, editors, Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, Singapore, May 9-13, 2016. pages 1315-1316, ACM, 2016. [doi]

@inproceedings{Hernandez-LealR16,
  title = {A Bayesian Approach for Learning and Tracking Switching, Non-Stationary Opponents: (Extended Abstract)},
  author = {Pablo Hernandez-Leal and Benjamin Rosman and Matthew E. Taylor and Luis Enrique Sucar and Enrique Munoz de Cote},
  year = {2016},
  url = {http://dl.acm.org/citation.cfm?id=2937137},
  researchr = {https://researchr.org/publication/Hernandez-LealR16},
  cites = {0},
  citedby = {0},
  pages = {1315-1316},
  booktitle = {Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, Singapore, May 9-13, 2016},
  editor = {Catholijn M. Jonker and Stacy Marsella and John Thangarajah and Karl Tuyls},
  publisher = {ACM},
  isbn = {978-1-4503-4239-1},
}