Publications

Giovanni RUSSO Publications


2021
Articolo in rivista
On the crowdsourcing of behaviors for autonomous agents
IEEE CONTROL SYSTEMS LETTERS. Vol. 5. Pag.1321-1326
ISSN:2475-1456.
Russo, Giovanni
Digital Object Identifier (DOI): 10.1109/LCSYS.2020.3034750
Codice identificativo SCOPUS: 2-s2.0-85096112002
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2021
Articolo in rivista
Scalability in nonlinear network systems affected by delays and disturbances
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS. Vol. 8. Pag.1128-1138
ISSN:2325-5870.
Xie, S.; Russo, G.; Middleton, R.
Digital Object Identifier (DOI): 10.1109/TCNS.2021.3058934
Codice identificativo SCOPUS: 2-s2.0-85101475589
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2021
Contributo in Atti di convegno
An Application of Control-Tutored Reinforcement Learning to the Herding Problem.
In: International Workshop on Cellular Nanoscale Networks and their Applications IEEE Computer Society Vol.2021-, Pag.1-4
ISBN:978-1-6654-3948-0
17th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2021
ita 2021
De Lellis, F.; Auletta, F.; Russo, Giovanni; De Lellis, P.; Di Bernardo, M.
Digital Object Identifier (DOI): 10.1109/CNNA49188.2021.9610789
Codice identificativo SCOPUS: 2-s2.0-85123015450
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2021
Contributo in Atti di convegno
Tutoring Reinforcement Learning via Feedback Control.
In: 2021 European Control Conference, ECC 2021 345 E 47TH ST, NEW YORK, NY 10017 USA Institute of Electrical and Electronics Engineers Inc. Pag.580-585
ISBN:978-9-4638-4236-5
2021 European Control Conference, ECC 2021
nld 2021
De Lellis, F.; Russo, Giovanni; Di Bernardo, M.
Digital Object Identifier (DOI): 10.23919/ECC54610.2021.9654881
Codice identificativo ISI: WOS:000768455200087
Codice identificativo SCOPUS: 2-s2.0-85124911602
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2021
Contributo in Atti di convegno
Driving Reinforcement Learning with Models.
In: Advances in Intelligent Systems and Computing Springer Vol.1250, Pag.70-85
ISBN:978-3-030-55179-7; 978-3-030-55180-3
Intelligent Systems Conference, IntelliSys 2020
gbr 2020
Rathi, M.; Ferraro, P.; Russo, Giovanni
Digital Object Identifier (DOI): 10.1007/978-3-030-55180-3_6
Codice identificativo SCOPUS: 2-s2.0-85090175512
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2021
Contributo in Atti di convegno
Intermittent non-pharmaceutical strategies to mitigate the COVID-19 epidemic in a network model of Italy via constrained optimization.
In: Proceedings of the IEEE Conference on Decision and Control 345 E 47TH ST, NEW YORK, NY 10017 USA Institute of Electrical and Electronics Engineers Inc. Vol.2021-, Pag.3538-3543
ISBN:978-1-6654-3659-5
60th IEEE Conference on Decision and Control, CDC 2021
usa 2021
Coraggio, M.; Xie, S.; De Lellis, F.; Russo, Giovanni; DI Bernardo, M.
Digital Object Identifier (DOI): 10.1109/CDC45484.2021.9683420
Codice identificativo ISI: WOS:000781990303025
Codice identificativo SCOPUS: 2-s2.0-85126007651
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