@InProceedings{littman01a,
  author =	 {Michael L. Littman},
  title =	 {Friend-or-Foe Q-learning in General-Sum Games},
  booktitle =	 {Proceedings of the Eighteenth International
                  Conference on Machine Learning},
  pages =	 {322--328},
  year =	 2001,
  publisher =	 {Morgan Kaufmann},
  abstract =	 {This paper describes an approach to reinforcement
                  learning in multiagent multiagent general-sum games
                  in which a learner is told to treat each other agent
                  as a friend or foe. This Q-learning-style algorithm
                  provides strong convergence guarantees compared to
                  an existing Nash-equilibrium-based learning rule.},
  keywords =     {multiagent learning reinforcement},
  url = 	 {http://jmvidal.cse.sc.edu/library/littman01a.pdf},
  googleid = 	 {wOVVMR8_1Z0J:scholar.google.com/},
  cluster = 	 {11373065837198304704}
}