R. J. Aumann & M. B. Maschler (1995):
Repeated Games with Incomplete Information.
MIT Press,
Cambridge, MA.
With the collaboration of Richard E. Stearns.
Robert Gibbons (1992):
A primer in game theory.
Harvester Wheatsheaf.
Michael L. Littman (1994):
Markov Games as a Framework for Multi-Agent Reinforcement Learning.
In: William W. Cohen & Haym Hirsh: Proceedings of the Eleventh International Conference on Machine Learning.
Morgan Kaufmann,
pp. 157–163.
M.J. Osborne & A. Rubinstein (1994):
A Course in Game Theory.
MIT Press.
M. Owen (1982):
Game Theory.
Academic Press.
Second Edition.
L. R. Rabiner (1985):
A Probabilistic Distance Measure for Hidden Markov Models.
AT&T Tech. J. 64(2),
pp. 391–408.
L. R. Rabiner (1989):
A Tutorial on Hidden Markov Models and Selected Applic.
IEEE.
Speech Recognition.
Jérôme Renault (2006):
The Value of Markov Chain Games with Lack of Information on One Side.
Math. Oper. Res. 31(3),
pp. 490–512.
Available at http://dx.doi.org/10.1287/moor.1060.0199.
E. Waghabir (2009):
Applying HMM in Mixed Strategy Game.
COPPE-Sistemas.
J. Van Der Wal (1981):
Stochastic dynamic programming.
M. Kaufmann.
In Mathematical Centre Tracts, 139.