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Optimal control to reduce emissions in gasoline engines: an iterative learning control approach for ECU calibration maps improvement.

, , , , , , , and . ECC, page 1420-1425. IEEE, (2015)

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Newton-based Policy Search for Networked Multi-agent Reinforcement Learning., , and . CDC, page 7241-7247. IEEE, (2022)Optimal control to reduce emissions in gasoline engines: an iterative learning control approach for ECU calibration maps improvement., , , , , , , and . ECC, page 1420-1425. IEEE, (2015)Following Newton direction in Policy Gradient with parameter exploration., , , and . IJCNN, page 1-8. IEEE, (2015)Balancing Sample Efficiency and Suboptimality in Inverse Reinforcement Learning., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 4618-4629. PMLR, (2022)A data-based approach to power capacity optimization., , , and . CDC, page 1663-1668. IEEE, (2017)A graph-based optimization framework for the Energy Management of District Systems., , and . CDC, page 7252-7257. IEEE, (2019)Optimal control of large scale stochastic hybrid systems with a finite control space.. Polytechnic University of Milan, Italy, (2016)A majority voting classifier with probabilistic guarantees., , and . CCA, page 1084-1089. IEEE, (2015)A classification-based approach to the optimal control of affine switched systems., , and . CDC, page 2963-2968. IEEE, (2015)