Pubblicazioni

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.

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