Alessio Russo

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 31

Top Topics

Predictive Control

Markov Decision Processes

Reinforcement Learning

Stochastic Systems

Top Venues

Publications

Alessio Russo, Alexandre Proutière
Model-Free Active Exploration in Reinforcement Learning. CoRR (2024)
Damianos Tranos, Alessio Russo, Alexandre Proutière
Self-Tuning Tube-based Model Predictive Control. ACC (2023)
Chan Juan Tu, Alessio Russo
Visual Design Checklist for Glucose Monitor App User Interface Usability Evaluation. HCI (24) (2023)
Daniele Foffano, Alessio Russo, Alexandre Proutière
Conformal Off-Policy Evaluation in Markov Decision Processes. CoRR (2023)
Alessio Russo
Analysis and Detectability of Offline Data Poisoning Attacks on Linear Dynamical Systems. L4DC (2023)
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 (2023)
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 (2023)
Axel Grönland, Alessio Russo, Yassir Jedra, Bleron Klaiqi, Xavier Gelabert
Constrained Deep Reinforcement Learning for Fronthaul Compression Optimization. CoRR (2023)
Alessio Russo, Alexandre Proutière
Model-Free Active Exploration in Reinforcement Learning. NeurIPS (2023)
Alessio Russo, Alexandre Proutière
On the Sample Complexity of Representation Learning in Multi-Task Bandits with Global and Local Structure. AAAI (2023)
Alessio Russo, Alexandre Proutière
Tube-Based Zonotopic Data-Driven Predictive Control. ACC (2023)
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)
Daniele Foffano, Alessio Russo, Alexandre Proutière
Conformal Off-Policy Evaluation in Markov Decision Processes. CDC (2023)
Alessio Russo, Alexandre Proutière
Balancing detectability and performance of attacks on the control channel of Markov Decision Processes. ACC (2022)
Alessio Russo, Alexandre Proutière
Analysis and Detectability of Offline Data Poisoning Attacks on Linear Systems. CoRR (2022)
Viktor Eriksson Möllerstedt, Alessio Russo, Maxime Bouton
Model Based Residual Policy Learning with Applications to Antenna Control. CoRR (2022)
Damianos Tranos, Alessio Russo, Alexandre Proutière
Self-Tuning Tube-based Model Predictive Control. CoRR (2022)
Alessio Russo, Alexandre Proutière
Tube-Based Zonotopic Data-Driven Predictive Control. CoRR (2022)
Alessio Russo, Alexandre Proutière
On the Sample Complexity of Representation Learning in Multi-task Bandits with Global and Local structure. CoRR (2022)
Alessio Russo, Alexandre Proutière
Minimizing Information Leakage of Abrupt Changes in Stochastic Systems. CDC (2021)
Alessio Russo, Marco Molinari, Alexandre Proutière
Data-Driven Control and Data-Poisoning attacks in Buildings: the KTH Live-In Lab case study. MED (2021)
Alessio Russo, Alexandre Proutière
Poisoning Attacks against Data-Driven Control Methods. CoRR (2021)
Alessio Russo, Alexandre Proutière
Balancing detectability and performance of attacks on the control channel of Markov Decision Processes. CoRR (2021)
Alessio Russo, Marco Molinari, Alexandre Proutière
Data-Driven Control and Data-Poisoning attacks in Buildings: the KTH Live-In Lab case study. CoRR (2021)
Alberto Maria Metelli, Alessio Russo, Marcello Restelli
Subgaussian and Differentiable Importance Sampling for Off-Policy Evaluation and Learning. NeurIPS (2021)
Alessio Russo, Alexandre Proutière
Poisoning Attacks against Data-Driven Control Methods. ACC (2021)
Alessio Russo, Alexandre Proutière
Towards Optimal Attacks on Reinforcement Learning Policies. ACC (2021)
Alessio Russo, Alexandre Proutière
Minimizing Information Leakage of Abrupt Changes in Stochastic Systems. CoRR (2021)
Alessio Russo
Some Ethical Issues in the Review Process of Machine Learning Conferences. CoRR (2021)
Po-An Wang, Alexandre Proutière, Kaito Ariu, Yassir Jedra, Alessio Russo
Optimal Algorithms for Multiplayer Multi-Armed Bandits. AISTATS (2020)
Alessio Russo, Alexandre Proutière
Optimal Attacks on Reinforcement Learning Policies. CoRR (2019)
Derek J. S. Robinson, Alessio Russo, Giovanni Vincenzi
On Groups which contain no HNN-Extensions. Int. J. Algebra Comput. 17 (7) (2007)