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Licio Romao
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2020 – today
- 2024
- [j6]Rudi Coppola
, Andrea Peruffo
Enhancing Data-Driven Stochastic Control via Bundled Interval MDP. IEEE Control. Syst. Lett. 8: 2069-2074 (2024) - [c13]Thom S. Badings, Licio Romao, Alessandro Abate, Nils Jansen:
A Stability-Based Abstraction Framework for Reach-Avoid Control of Stochastic Dynamical Systems with Unknown Noise Distributions. ECC 2024: 564-570 - [c12]Daniel Jarne Ornia, Licio Romao, Lewis Hammond, Manuel Mazo Jr., Alessandro Abate:
Bounded robustness in reinforcement learning via lexicographic objectives. L4DC 2024: 954-967 - [i14]Alexandros E. Tzikas, Licio Romao, Mert Pilanci, Alessandro Abate, Mykel J. Kochenderfer:
Distributed Markov Chain Monte Carlo Sampling based on the Alternating Direction Method of Multipliers. CoRR abs/2401.15838 (2024) - [i13]Thom S. Badings, Licio Romao, Alessandro Abate, Nils Jansen:
A Stability-Based Abstraction Framework for Reach-Avoid Control of Stochastic Dynamical Systems with Unknown Noise Distributions. CoRR abs/2404.01726 (2024) - [i12]Rudi Coppola, Andrea Peruffo, Licio Romao, Alessandro Abate, Manuel Mazo Jr.:
Data-driven Interval MDP for Robust Control Synthesis. CoRR abs/2404.08344 (2024) - [i11]Adrien Banse, Licio Romao, Alessandro Abate, Raphaël M. Jungers:
Data-driven memory-dependent abstractions of dynamical systems via a Cantor-Kantorovich metric. CoRR abs/2405.08353 (2024) - [i10]Frederik Baymler Mathiesen, Licio Romao, Simeon C. Calvert, Luca Laurenti, Alessandro Abate:
A data-driven approach for safety quantification of non-linear stochastic systems with unknown additive noise distribution. CoRR abs/2410.06662 (2024) - 2023
- [j5]Licio Romao, Kostas Margellos, Antonis Papachristodoulou
Probabilistic feasibility guarantees for convex scenario programs with an arbitrary number of discarded constraints. Autom. 149: 110601 (2023) - [j4]Thom S. Badings, Licio Romao, Alessandro Abate, David Parker, Hasan A. Poonawala, Mariëlle Stoelinga
Robust Control for Dynamical Systems with Non-Gaussian Noise via Formal Abstractions. J. Artif. Intell. Res. 76: 341-391 (2023) - [j3]Licio Romao
On the Exact Feasibility of Convex Scenario Programs With Discarded Constraints. IEEE Trans. Autom. Control. 68(4): 1986-2001 (2023) - [c11]Thom S. Badings, Licio Romao, Alessandro Abate, Nils Jansen:
Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty. AAAI 2023: 14701-14710 - [c10]Licio Romao, Ashish R. Hota, Alessandro Abate:
Distributionally Robust Optimal and Safe Control of Stochastic Systems via Kernel Conditional Mean Embedding. CDC 2023: 2016-2021 - [c9]Maico Hendrikus Wilhelmus Engelaar
Abstracting Linear Stochastic Systems via Knowledge Filtering. CDC 2023: 3049-3054 - [c8]Frederik Baymler Mathiesen
Inner Approximations of Stochastic Programs for Data-Driven Stochastic Barrier Function Design. CDC 2023: 3073-3080 - [c7]Adrien Banse, Licio Romao, Alessandro Abate, Raphaël M. Jungers:
Data-driven Abstractions via Adaptive Refinements and a Kantorovich Metric. CDC 2023: 6038-6043 - [c6]Adrien Banse, Licio Romao, Alessandro Abate, Raphaël M. Jungers:
Data-driven memory-dependent abstractions of dynamical systems. L4DC 2023: 891-902 - [c5]Luke Rickard
Formal Controller Synthesis for Markov Jump Linear Systems with Uncertain Dynamics. QEST 2023: 10-29 - [c4]Thom S. Badings, Nils Jansen
Correct-by-Construction Control for Stochastic and Uncertain Dynamical Models via Formal Abstractions. FMAS@iFM 2023: 144-152 - [i9]Thom S. Badings, Licio Romao, Alessandro Abate, David Parker, Hasan A. Poonawala, Mariëlle Stoelinga, Nils Jansen
Robust Control for Dynamical Systems With Non-Gaussian Noise via Formal Abstractions. CoRR abs/2301.01526 (2023) - [i8]Adrien Banse, Licio Romao, Alessandro Abate, Raphaël M. Jungers:
Data-driven abstractions via adaptive refinements and a Kantorovich metric [extended version]. CoRR abs/2303.17618 (2023) - [i7]Licio Romao, Ashish R. Hota, Alessandro Abate:
Distributionally Robust Optimal and Safe Control of Stochastic Systems via Kernel Conditional Mean Embedding. CoRR abs/2304.00644 (2023) - [i6]Frederik Baymler Mathiesen, Licio Romao, Simeon C. Calvert, Alessandro Abate, Luca Laurenti:
Inner approximations of stochastic programs for data-driven stochastic barrier function design. CoRR abs/2304.04505 (2023) - [i5]Maico Hendrikus Wilhelmus Engelaar, Licio Romao, Yulong Gao, Mircea Lazar, Alessandro Abate, Sofie Haesaert:
Model Reduction of Linear Stochastic Systems with Preservation of sc-LTL Specifications. CoRR abs/2304.05770 (2023) - 2022
- [i4]Daniel Jarne Ornia, Licio Romao, Lewis Hammond, Manuel Mazo Jr., Alessandro Abate:
Observational Robustness and Invariances in Reinforcement Learning via Lexicographic Objectives. CoRR abs/2209.15320 (2022) - [i3]Thom S. Badings, Licio Romao, Alessandro Abate, Nils Jansen
Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty. CoRR abs/2210.05989 (2022) - [i2]Luke Rickard, Thom S. Badings, Licio Romao, Nils Jansen, Alessandro Abate:
Formal Controller Synthesis for Markov Jump Linear Systems with Uncertain Dynamics. CoRR abs/2212.00679 (2022) - [i1]Adrien Banse, Licio Romao, Alessandro Abate, Raphaël M. Jungers:
Data-driven memory-dependent abstractions of dynamical systems. CoRR abs/2212.01926 (2022) - 2021
- [b1]Licio Romao:
Scalable and data-driven approaches to convex programming. University of Oxford, UK, 2021 - [j2]Licio Romao, Kostas Margellos, Giuseppe Notarstefano, Antonis Papachristodoulou
Subgradient averaging for multi-agent optimisation with different constraint sets. Autom. 131: 109738 (2021) - [c3]Licio Romao, Kostas Margellos, Antonis Papachristodoulou:
Tight sampling and discarding bounds for scenario programs with an arbitrary number of removed samples. L4DC 2021: 312-323 - 2020
- [c2]Licio Romao, Kostas Margellos, Antonis Papachristodoulou
Tight generalization guarantees for the sampling and discarding approach to scenario optimization. CDC 2020: 2228-2233
2010 – 2019
- 2019
- [c1]Licio Romao, Kostas Margellos, Giuseppe Notarstefano, Antonis Papachristodoulou
Convergence rate analysis of a subgradient averaging algorithm for distributed optimisation with different constraint sets. CDC 2019: 7448-7453 - 2018
- [j1]Licio Romao
Distributed Actuator Selection: Achieving Optimality via a Primal-Dual Algorithm. IEEE Control. Syst. Lett. 2(4): 779-784 (2018)
Coauthor Index
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last updated on 2024-11-20 21:02 CET by the dblp team
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