Pubblicazioni

Regular Clocks for Temporal Task Specifications in Reinforcement Learning

2025 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
De Giacomo, G.; Favorito, M.; Patrizi, F.

Online Decentralized Scheduling in Fog Computing for Smart Cities Based On Reinforcement Learning

2024 - IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
Mattia, Gabriele Proietti; Beraldi, Roberto

Pure-Past Action Masking

2024 - National Conference of the American Association for Artificial Intelligence
Varricchione, Giovanni; Alechina, Natasha; Dastani, Mehdi; De Giacomo, Giuseppe; Logan, Brian; Perelli, Giuseppe

Harnessing Deep Learning and Reinforcement Learning Synergy as a Form of Strategic Energy Optimization in Architectural Design: A Case Study in Famagusta, North Cyprus

2024 - BUILDINGS
Karimi, H.; Adibhesami, M. A.; Hoseinzadeh, S.; Salehi, A.; Groppi, D.; Astiaso Garcia, D.

Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions

2024 - INTERNATIONAL STATISTICAL REVIEW
Deliu, Nina; Williams, Joseph Jay; Chakraborty, Bibhas

Neural reward machines

2024 - ECAI 2024. Proceedings of the 27th European Conference on Artificial Intelligence, 19–24 October 2024, Santiago de Compostela, Spain. Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024)
Umili, Elena; Argenziano, Francesco; Capobianco, Roberto

Modeling a Trust Factor in Composite Tasks for Multi-Agent Reinforcement Learning

2024 - HAI '24: Proceedings of the 12th International Conference on Human-Agent Interaction
Contino, Giuseppe; Cipollone, Roberto; Frattolillo, Francesco; Fanti, Andrea; Brandizzi, Nicolo'; Iocchi, Luca

Learning to Fly in Seconds

2024 - IEEE ROBOTICS AND AUTOMATION LETTERS
Eschmann, J.; Albani, D.; Loianno, G.

Microrandomized Trials: Developing Just-in-Time Adaptive Interventions for Better Public Health

2023 - AMERICAN JOURNAL OF PUBLIC HEALTH
Liu, Xueqing; Deliu, Nina; Chakraborty, Bibhas

Solving the train dispatching problem via deep reinforcement learning

2023 - JOURNAL OF RAIL TRANSPORT PLANNING & MANAGEMENT
Agasucci, Valerio; Grani, Giorgio; Lamorgese, Leonardo

Deep Reinforcement Learning for Pin-Point Autonomous Lunar Landing: Trajectory Recalculation for Obstacle Avoidance

2023 - AII 2022: The Use of Artificial Intelligence for Space Applications
Ciabatti, Giulia; Spiller, Dario; Daftry, Shreyansh; Capobianco, Roberto; Curti, Fabio

Lyapunov-Driven Deep Reinforcement Learning for Edge Inference Empowered by Reconfigurable Intelligent Surfaces

2023 - IEEE ICASSP 2023
Stylianopoulos, Kyriakos; Merluzzi, Mattia; Di Lorenzo, Paolo; Alexandropoulos, George C.

A Review of Denial of Service Attack and Mitigation in the Smart Grid Using Reinforcement Learning

2023 - ENERGIES
Ortega-Fernandez, Ines; Liberati, Francesco

Automatic hardware accelerators reconfiguration through linearUCB algorithms on a RISC-V processor

2023 - 2023 18th Conference on Ph.D Research in Microelectronics and Electronics (PRIME)
Angioli, Marco; Barbirotta, Marcello; Mastrandrea, Antonio; Jamili, Saeid; Olivieri, Mauro

A Double-Decision Reinforcement Learning Based Algorithm for Online Scheduling in Edge and Fog Computing

2023 - Algorithmic Aspects of Cloud Computing
Tayel, Ahmed Fayez Moustafa; Proietti Mattia, Gabriele; Beraldi, Roberto

Autonomous Guidance Between Quasiperiodic Orbits in Cislunar Space via Deep Reinforcement Learning

2023 - JOURNAL OF SPACECRAFT AND ROCKETS
Federici, Lorenzo; Scorsoglio, Andrea; Zavoli, Alessandro; Furfaro, Roberto

Enhancing Efficiency and Safety Through Autonomous Navigation in the Intensive Care Unit

2023 - ICYRIME 2023 International Conference of Yearly Reports on Informatics, Mathematics, and Engineering
Ponzi, Valerio; Puglisi, Adriano

Provably Efficient Offline Reinforcement Learning in Regular Decision Processes

2023 - Advances in Neural Information Processing Systems
Cipollone, R.; Ronca, A.; Jonsson, A.; Talebi, M. S.

RLPTO: A Reinforcement Learning-Based Performance-Time Optimized Task and Resource Scheduling Mechanism for Distributed Machine Learning

2023 - IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
Lu, X.; Liu, C.; Zhu, S.; Mao, Y.; Lio, P.; Hui, P.

A New Algorithm for the LQR Problem with Partially Unknown Dynamics

2022 - Large-Scale Scientific Computing
Pacifico, Agnese; Pesare, Andrea; Falcone, Maurizio

Dynamic Treatment Regimes for Optimizing Healthcare

2022 - The Elements of Joint Learning and Optimization in Operations Management
Deliu, Nina; Chakraborty, Bibhas

Explain the Explainer: Interpreting Model-Agnostic Counterfactual Explanations of a Deep Reinforcement Learning Agent

2022 - IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE
Chen, Z.; Silvestri, F.; Tolomei, G.; Wang, J.; Zhu, H.; Ahn, H.

Intelligent Decision Making Based on the Combination of Deep Reinforcement Learning and an Influence Map

2022 - APPLIED SCIENCES
Lu, X.; Xue, A.; Lio, P.; Hui, P.

Continuous Neural Algorithmic Planners

2022 - Proceedings of Machine Learning Research
He, Y.; Velickovic, P.; Lio, P.; Deac, A.

Machine learning techniques for autonomous spacecraft guidance during proximity operation

2021 - AIAA Scitech 2021 Forum
Federici, Lorenzo; Benedikter, Boris; Zavoli, Alessandro

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