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Deep Q-learning: a robust control approach.

B. Varga, B. Kulcsár, and M. Chehreghani. CoRR, (2022)

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Other publications of authors with the same name

Linear Parameter Varying Identification of Freeway Traffic Models.T. Luspay, B. Kulcsár, J. van Wingerden, M. Verhaegen, and J. Bokor. IEEE Trans. Contr. Sys. Techn., 19 (1): 31-45 (2011)Model recovery anti-windup control for linear discrete time systems with magnitude and rate saturation.T. Peni, B. Kulcsár, and J. Bokor. ACC, page 1543-1548. IEEE, (2012)Closed-loop subspace Predictive Control for Linear Parameter Varying systems (i) - the nominal case.J. Dong, B. Kulcsár, J. van Wingerden, and M. Verhaegen. ECC, page 2009-2014. IEEE, (2009)Closed-loop subspace Predictive Control for Linear Parameter Varying systems (ii) - a supervisory and robust approach.B. Kulcsár, J. Dong, and M. Verhaegen. ECC, page 2021-2026. IEEE, (2009)Constrained Hinfinity control for discrete-time LPV systems using interpolation.T. Peni, B. Kulcsár, J. Bokor, and M. Verhaegen. CDC, page 4141-4146. IEEE, (2008)Single-region robust perimeter traffic flow control.B. Kulcsár, K. Ampountolas, and A. Dabiri. ECC, page 2628-2633. IEEE, (2015)Correction to "Robust Inversion Based Fault Estimation for Discrete-Time LPV Systems".B. Kulcsár, and M. Verhaegen. IEEE Trans. Automat. Contr., 57 (8): 2159 (2012)Distributed LPV state-feedback control with application to motorway ramp metering.A. Dabiri, B. Kulcsár, and H. Köroglu. ECC, page 1480-1485. IEEE, (2015)Mean-square optimal control of Linear Parameter Varying systems with noisy scheduling parameter measurements.T. Luspay, B. Kulcsár, and K. Grigoriadis. ACC, page 6084-6089. IEEE, (2013)Traffic-adaptive signal control and vehicle routing using a decentralized back-pressure method.A. Zaidi, B. Kulcsár, and H. Wymeersch. ECC, page 3029-3034. IEEE, (2015)

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Deep Q-learning: a robust control approach.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Deep Q-learning: a robust control approach.

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Deep Q-learning: a robust control approach.