\begin{thebibliography}{10}
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\bibitem{7_lq_methods}
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\bibitem{dynamic_programming}
Bellman, R.: Dynamic programming. \emph{Princeton University Press}, 1957.

\bibitem{2_int_a_in_dec}
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\bibitem{4_rmm_formalization}
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\bibitem{5_bayes_learn}
Nagy, I.; Nedoma, P.; Ettler, P.; aj.: O bayesovsk{\'e}m u\v{c}en{\'i}.
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\bibitem{1_rmm_bayes_learning}
Ou, H.; Zhang, W.; Xu, X.: Urban traffic multi-agent system based on RMM and
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\bibitem{17_fronta}
P., P.; J., D.; Fl{\'i}dr: Modelling and Simultaneous Estimation of State and
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\bibitem{learning_to_predict}
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\bibitem{tlc_using_sarsa}
Thorpe, T.: Vehicle traffic light controlusing sarsa. \emph{Master’s thesis,
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\bibitem{6_tuc_lq}
Vaya~Dinopoulou, M.~P., Christina~Diakaki: Applications of the urban traffic
  control strategy TUC. \emph{European Journal of Operational Research}, 2005.

\bibitem{leraning_from_delayed_rewards}
Watkins, C. J. C.~H.: Leraning from Delayed Rewards. \emph{PhD thesis, King's
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\bibitem{q_learning}
Watkins, C. J. C.~H.; Dayan, P.: Q-leraning. \emph{Machine Learning}, 1992.

\bibitem{3_i_traff_light_c}
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\bibitem{wooldridge}
Wooldridge, M.: \emph{Multi Agent Systems}. MIT Press, Březen 2005.

\end{thebibliography}
