Alessio Russo

Orcid: 0000-0001-9083-5260

According to our database1, Alessio Russo authored at least 29 papers between 2007 and 2025.

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Bibliography

2025
Adaptive Exploration for Multi-Reward Multi-Policy Evaluation.
CoRR, February, 2025

Achieving ~O(√T) Regret in Average-Reward POMDPs with Known Observation Models.
CoRR, January, 2025

Explainable Reinforcement Learning via Temporal Policy Decomposition.
CoRR, January, 2025

2024
Offline Reinforcement Learning and Sequence Modeling for Downlink Link Adaptation.
CoRR, 2024

Efficient Learning of POMDPs with Known Observation Model in Average-Reward Setting.
CoRR, 2024

Multi-Reward Best Policy Identification.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Fair Best Arm Identification with Fixed Confidence.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023
Morphological analysis of historical landscapes based on cultural DNA approach.
Digit. Appl. Archaeol. Cult. Heritage, 2023

Constrained Deep Reinforcement Learning for Fronthaul Compression Optimization.
CoRR, 2023

Model-Free Active Exploration in Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Analysis and Detectability of Offline Data Poisoning Attacks on Linear Dynamical Systems.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Visual Design Checklist for Glucose Monitor App User Interface Usability Evaluation.
Proceedings of the Design, User Experience, and Usability, 2023

Conformal Off-Policy Evaluation in Markov Decision Processes.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

What influences occupants' behavior in residential buildings: An experimental study on window operation in the KTH Live-In Lab.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023

Self-Tuning Tube-based Model Predictive Control.
Proceedings of the American Control Conference, 2023

Tube-Based Zonotopic Data-Driven Predictive Control.
Proceedings of the American Control Conference, 2023

On the Sample Complexity of Representation Learning in Multi-Task Bandits with Global and Local Structure.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Analysis and Detectability of Offline Data Poisoning Attacks on Linear Systems.
CoRR, 2022

Model Based Residual Policy Learning with Applications to Antenna Control.
CoRR, 2022

Balancing detectability and performance of attacks on the control channel of Markov Decision Processes.
Proceedings of the American Control Conference, 2022

2021
Some Ethical Issues in the Review Process of Machine Learning Conferences.
CoRR, 2021

Subgaussian and Differentiable Importance Sampling for Off-Policy Evaluation and Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Data-Driven Control and Data-Poisoning attacks in Buildings: the KTH Live-In Lab case study.
Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021

Minimizing Information Leakage of Abrupt Changes in Stochastic Systems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Towards Optimal Attacks on Reinforcement Learning Policies.
Proceedings of the 2021 American Control Conference, 2021

Poisoning Attacks against Data-Driven Control Methods.
Proceedings of the 2021 American Control Conference, 2021

2020
Optimal Algorithms for Multiplayer Multi-Armed Bandits.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Optimal Attacks on Reinforcement Learning Policies.
CoRR, 2019

2007
On Groups which contain no HNN-Extensions.
Int. J. Algebra Comput., 2007


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