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2020 – today
- 2024
[i18]Alessio Russo, Alexandre Proutière:
Model-Free Active Exploration in Reinforcement Learning. CoRR abs/2407.00801 (2024)- [i17]Alessio Russo, Filippo Vannella:
Fair Best Arm Identification with Fixed Confidence. CoRR abs/2408.17313 (2024) - [i16]Alessio Russo, Alberto Maria Metelli, Marcello Restelli:
Efficient Learning of POMDPs with Known Observation Model in Average-Reward Setting. CoRR abs/2410.01331 (2024) - [i15]Samuele Peri, Alessio Russo, Gábor Fodor, Pablo Soldati:
Offline Reinforcement Learning and Sequence Modeling for Downlink Link Adaptation. CoRR abs/2410.23031 (2024) - 2023
- [j2]Parichehr Goodarzi
, Mojtaba Ansari, Mohammadjavad Mahdavinejad, Alessio Russo, Mahdi Haghighatbin, Farzad Pour Rahimian:
Morphological analysis of historical landscapes based on cultural DNA approach. Digit. Appl. Archaeol. Cult. Heritage 30: 00277 (2023) - [c15]Alessio Russo, Alexandre Proutière:
On the Sample Complexity of Representation Learning in Multi-Task Bandits with Global and Local Structure. AAAI 2023: 9658-9667 - [c14]Damianos Tranos, Alessio Russo, Alexandre Proutière:
Self-Tuning Tube-based Model Predictive Control. ACC 2023: 3626-3632 - [c13]Alessio Russo, Alexandre Proutière:
Tube-Based Zonotopic Data-Driven Predictive Control. ACC 2023: 3845-3851 - [c12]Mahsa Farjadnia, Angela Fontan, Alessio Russo, Karl Henrik Johansson, Marco Molinari:
What influences occupants' behavior in residential buildings: An experimental study on window operation in the KTH Live-In Lab. CCTA 2023: 752-758 - [c11]Daniele Foffano, Alessio Russo, Alexandre Proutière:
Conformal Off-Policy Evaluation in Markov Decision Processes. CDC 2023: 3087-3094 - [c10]Chan Juan Tu, Alessio Russo:
Visual Design Checklist for Glucose Monitor App User Interface Usability Evaluation. HCI (24) 2023: 454-464 - [c9]Alessio Russo:
Analysis and Detectability of Offline Data Poisoning Attacks on Linear Dynamical Systems. L4DC 2023: 1086-1098 - [c8]Alessio Russo, Alexandre Proutière:
Model-Free Active Exploration in Reinforcement Learning. NeurIPS 2023 - [i14]Daniele Foffano, Alessio Russo, Alexandre Proutière:
Conformal Off-Policy Evaluation in Markov Decision Processes. CoRR abs/2304.02574 (2023) - [i13]Mahsa Farjadnia, Angela Fontan, Alessio Russo, Karl Henrik Johansson, Marco Molinari:
What influences occupants' behavior in residential buildings: An experimental study on window operation in the KTH Live-In Lab. CoRR abs/2307.08090 (2023) - [i12]Axel Grönland, Alessio Russo, Yassir Jedra, Bleron Klaiqi, Xavier Gelabert:
Constrained Deep Reinforcement Learning for Fronthaul Compression Optimization. CoRR abs/2309.15060 (2023) - 2022
- [c7]Alessio Russo, Alexandre Proutière:
Balancing detectability and performance of attacks on the control channel of Markov Decision Processes. ACC 2022: 2843-2850 - [i11]Alessio Russo, Alexandre Proutière:
Tube-Based Zonotopic Data-Driven Predictive Control. CoRR abs/2209.03500 (2022) - [i10]Damianos Tranos, Alessio Russo, Alexandre Proutière:
Self-Tuning Tube-based Model Predictive Control. CoRR abs/2210.00502 (2022) - [i9]Viktor Eriksson Möllerstedt, Alessio Russo, Maxime Bouton:
Model Based Residual Policy Learning with Applications to Antenna Control. CoRR abs/2211.08796 (2022) - [i8]Alessio Russo, Alexandre Proutière:
Analysis and Detectability of Offline Data Poisoning Attacks on Linear Systems. CoRR abs/2211.08804 (2022) - [i7]Alessio Russo, Alexandre Proutière:
On the Sample Complexity of Representation Learning in Multi-task Bandits with Global and Local structure. CoRR abs/2211.15129 (2022) - 2021
- [c6]Alessio Russo, Alexandre Proutière:
Poisoning Attacks against Data-Driven Control Methods. ACC 2021: 3234-3241 - [c5]Alessio Russo, Alexandre Proutière:
Towards Optimal Attacks on Reinforcement Learning Policies. ACC 2021: 4561-4567 - [c4]Alessio Russo, Alexandre Proutière:
Minimizing Information Leakage of Abrupt Changes in Stochastic Systems. CDC 2021: 2750-2757 - [c3]Alessio Russo, Marco Molinari, Alexandre Proutière:
Data-Driven Control and Data-Poisoning attacks in Buildings: the KTH Live-In Lab case study. MED 2021: 53-58 - [c2]Alberto Maria Metelli, Alessio Russo, Marcello Restelli:
Subgaussian and Differentiable Importance Sampling for Off-Policy Evaluation and Learning. NeurIPS 2021: 8119-8132 - [i6]Alessio Russo, Alexandre Proutière:
Minimizing Information Leakage of Abrupt Changes in Stochastic Systems. CoRR abs/2103.01658 (2021) - [i5]Alessio Russo, Alexandre Proutière:
Poisoning Attacks against Data-Driven Control Methods. CoRR abs/2103.06199 (2021) - [i4]Alessio Russo, Marco Molinari, Alexandre Proutière:
Data-Driven Control and Data-Poisoning attacks in Buildings: the KTH Live-In Lab case study. CoRR abs/2103.06208 (2021) - [i3]Alessio Russo:
Some Ethical Issues in the Review Process of Machine Learning Conferences. CoRR abs/2106.00810 (2021) - [i2]Alessio Russo, Alexandre Proutière:
Balancing detectability and performance of attacks on the control channel of Markov Decision Processes. CoRR abs/2109.07171 (2021) - 2020
- [c1]Po-An Wang, Alexandre Proutière, Kaito Ariu, Yassir Jedra, Alessio Russo:
Optimal Algorithms for Multiplayer Multi-Armed Bandits. AISTATS 2020: 4120-4129
2010 – 2019
- 2019
- [i1]Alessio Russo, Alexandre Proutière:
Optimal Attacks on Reinforcement Learning Policies. CoRR abs/1907.13548 (2019)
2000 – 2009
- 2007
- [j1]Derek J. S. Robinson, Alessio Russo, Giovanni Vincenzi:
On Groups which contain no HNN-Extensions. Int. J. Algebra Comput. 17(7): 1377-1387 (2007)
Coauthor Index
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last updated on 2024-12-01 01:10 CET by the dblp team
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