awesome.bbl
\begin{thebibliography}{}
\itemsep .008in

\bibitem[Bowling \& Veloso, 2002][Bowling and
  Veloso][2002]{Bowling02:Multiagent}
Bowling, M., \& Veloso, M. (2002).
\newblock Multiagent learning using a variable learning rate.
\newblock {\em Artificial Intelligence}, {\em 136}, 215--250.

\bibitem[Cahn, 2000][Cahn][2000]{Cahn00:General}
Cahn, A. (2000).
\newblock {\em General procedures leading to correlated equilibria}.
\newblock Discussion paper 216.
\newblock Center for Rationality, The Hebrew University of Jerusalem, Israel.

\bibitem[Claus \& Boutilier, 1998][Claus and Boutilier][1998]{Claus98:Dynamics}
Claus, C., \& Boutilier, C. (1998).
\newblock The dynamics of reinforcement learning in cooperative multiagent
  systems.
\newblock {\em Proceedings of the National Conference on Artificial
  Intelligence (AAAI)} (pp.\/ 746--752).
\newblock Madison, WI.

\bibitem[Conitzer \& Sandholm, 2003][Conitzer and
  Sandholm][2003]{Conitzer02:Nash}
Conitzer, V., \& Sandholm, T. (2003).
\newblock Complexity results about {N}ash equilibria.
\newblock {\em Proceedings of the Eighteenth International Joint Conference on
  Artificial Intelligence (IJCAI)}.
\newblock Acapulco, Mexico.
\newblock Earlier version appeared as technical report CMU-CS-02-135.

\bibitem[Foster \& Vohra, 1997][Foster and Vohra][1997]{Foster97:Calibrated}
Foster, D.~P., \& Vohra, R.~V. (1997).
\newblock Calibrated learning and correlated equilibrium.
\newblock {\em Games and Economic Behavior}, {\em 21}, 40--55.

\bibitem[Fudenberg \& Levine, 1998][Fudenberg and
  Levine][1998]{Fudenberg98:Theory}
Fudenberg, D., \& Levine, D. (1998).
\newblock {\em The theory of learning in games}.
\newblock MIT Press.

\bibitem[Fudenberg \& Levine, 1999][Fudenberg and
  Levine][1999]{Fudenberg99:Conditional}
Fudenberg, D., \& Levine, D. (1999).
\newblock Conditional universal consistency.
\newblock {\em Games and Economic Behavior}, {\em 29}, 104--130.

\bibitem[Hart \& Mas-Colell, 2000][Hart and Mas-Colell][2000]{Hart00:Simple}
Hart, S., \& Mas-Colell, A. (2000).
\newblock A simple adaptive procedure leading to correlated equilibrium.
\newblock {\em Econometrica}, {\em 68}, 1127--1150.

\bibitem[Hu \& Wellman, 1998][Hu and Wellman][1998]{Hu98:Multiagent}
Hu, J., \& Wellman, M.~P. (1998).
\newblock Multiagent reinforcement learning: Theoretical framework and an
  algorithm.
\newblock {\em International Conference on Machine Learning} (pp.\/ 242--250).

\bibitem[Littman \& Stone, 2003][Littman and Stone][2003]{Littman03:Polynomial}
Littman, M., \& Stone, P. (2003).
\newblock A polynomial-time {N}ash equilibrium algorithm for repeated games.
\newblock {\em Proceedings of the ACM Conference on Electronic Commerce
  (ACM-EC)}.
\newblock San Diego, CA.

\bibitem[Littman, 1994][Littman][1994]{Littman94:Markov}
Littman, M.~L. (1994).
\newblock Markov games as a framework for multi-agent reinforcement learning.
\newblock {\em International Conference on Machine Learning} (pp.\/ 157--163).

\bibitem[Papadimitriou, 2001][Papadimitriou][2001]{Papadimitriou01:Algorithms}
Papadimitriou, C. (2001).
\newblock Algorithms, games and the {I}nternet.
\newblock {\em {STOC}} (pp.\/ 749--753).

\bibitem[Sen \& Weiss, 1998][Sen and Weiss][1998]{Sen98:Learning}
Sen, S., \& Weiss, G. (1998).
\newblock Learning in multiagent systems.
\newblock In G.~Weiss (Ed.), {\em Multiagent systems: A modern introduction to
  distributed artificial intelligence}, chapter~6,  259--298. MIT Press.

\bibitem[Singh et~al.\/, 2000][Singh et~al.\/][2000]{Singh00:Nash}
Singh, S., Kearns, M., \& Mansour, Y. (2000).
\newblock Nash convergence of gradient dynamics in general-sum games.
\newblock {\em Proceedings of the Uncertainty in Artificial Intelligence
  Conference (UAI)} (pp.\/ 541--548).
\newblock Stanford, CA.

\bibitem[Tan, 1993][Tan][1993]{Tan93:Multi-Agent}
Tan, M. (1993).
\newblock Multi-agent reinforcement learning: Independent vs. cooperative
  agents.
\newblock {\em International Conference on Machine Learning} (pp.\/ 330--337).

\bibitem[Vrieze, 1987][Vrieze][1987]{Vrieze87:Stochastic}
Vrieze, O. (1987).
\newblock Stochastic games with finite state and action spaces.
\newblock {\em CWI Tracts}.

\bibitem[Wang \& Sandholm, 2002][Wang and Sandholm][2002]{Wang02:Reinforcement}
Wang, X., \& Sandholm, T. (2002).
\newblock Reinforcement learning to play an optimal {N}ash equilibrium in team
  {M}arkov games.
\newblock {\em Proceedings of the Annual Conference on Neural Information
  Processing Systems (NIPS)}.
\newblock Vancouver, Canada.

\end{thebibliography}
