A Bayesian approach for Learning and Tracking Switching, Non-stationary Opponents (extended abstract)

by Pablo Hernandez-Leal, Benjamin Rosman, Matthew Taylor, L. Enrique Sucar, Enrique Munoz de Cote
Reference:
A Bayesian approach for Learning and Tracking Switching, Non-stationary Opponents (extended abstract) (Pablo Hernandez-Leal, Benjamin Rosman, Matthew Taylor, L. Enrique Sucar, Enrique Munoz de Cote), In Proceedings of the International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS), 2016.
Bibtex Entry:
@InProceedings{hernandez16aamas,
  Title                    = {A Bayesian approach for Learning and Tracking Switching, Non-stationary Opponents (extended abstract)},
  Author                   = {Pablo Hernandez-Leal and Benjamin Rosman and Matthew Taylor and L. Enrique Sucar and Cote, Enrique Munoz de},
  Booktitle                = {Proceedings of the International Joint Conference on Autonomous Agents and Multi Agent Systems (<FONT COLOR="8904B1">AAMAS</FONT>)},
  Year                     = {2016},

  Keywords                 = {sophistication, repeated games, leader-follower, multiagent systems, opponent modeling, machine learning},
  Url                      = {http://ccc.inaoep.mx/~jemc/bib/bib2html/e-documents/hernandez16AAMAS.pdf}
}