Markov Decision Processes

Author:

Chang Hyeong Soo,Hu Jiaqiao,Fu Michael C.,Marcus Steven I.

Publisher

Springer London

Reference81 articles.

1. Altman, E., Koole, G.: On submodular value functions and complex dynamic programming. Stoch. Models 14, 1051–1072 (1998)

2. Arapostathis, A., Borkar, V.S., Fernández-Gaucherand, E., Ghosh, M.K., Marcus, S.I.: Discrete-time controlled Markov processes with average cost criterion: a survey. SIAM J. Control Optim. 31(2), 282–344 (1993)

3. Baglietto, M., Parisini, T., Zoppoli, R.: Neural approximators and team theory for dynamic routing: a receding horizon approach. In: Proceedings of the 38th IEEE Conference on Decision and Control, pp. 3283–3288 (1999)

4. Banks, J. (ed.): Handbook of Simulation: Principles, Methodology, Advances, Applications, and Practice. Wiley, New York (1998)

5. Barto, A., Sutton, R., Anderson, C.: Neuron-like elements that can solve difficult learning control problems. IEEE Trans. Syst. Man Cybern. 13, 835–846 (1983)

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