Pubblicazioni

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

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 forÂ Online Scheduling inÂ Edge andÂ Fog Computing

2023 - Algorithmic Aspects of Cloud Computing

Tayel, Ahmed Fayez Moustafa; Proietti Mattia, Gabriele; Beraldi, Roberto

A New Algorithm forÂ theÂ LQR Problem withÂ 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.

Machine learning techniques for autonomous spacecraft guidance during proximity operation

2021 - AIAA Scitech 2021 Forum

Federici, Lorenzo; Benedikter, Boris; Zavoli, Alessandro

User-centric radio access technology selection: A survey of game theory models and multi-agent learning algorithms

2021 - IEEE ACCESS

Caso, Giuseppe; Alay, Ozgu; Ferrante, Guido Carlo; Nardis, Luca De; Benedetto, Maria-Gabriella Di; Brunstrom, Anna

A reinforcement learning environment for multi-service UAV-enabled wireless systems

2021 - 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021

Brunori, D.; Colonnese, S.; Cuomo, F.; Iocchi, L.

Reinforcement learning for robust trajectory design of interplanetary missions

2021 - JOURNAL OF GUIDANCE CONTROL AND DYNAMICS

Zavoli, Alessandro; Federici, Lorenzo

Convergence results for an averaged LQR problem with applications to reinforcement learning

2021 - MATHEMATICS OF CONTROL SIGNALS AND SYSTEMS

Pesare, A.; Palladino, M.; Falcone, M.

Leveraging Reinforcement Learning for online scheduling of real-time tasks in the Edge/Fog-to-Cloud computing continuum

2021 - 2021 IEEE 20th International Symposium on Network Computing and Applications (NCA)

Proietti Mattia, Gabriele; Beraldi, Roberto

On the Emergence of Whole-body Strategies from Humanoid Robot Push-recovery Learning

2021 - IEEE ROBOTICS AND AUTOMATION LETTERS

Ferigo, D.; Camoriano, R.; Viceconte, P. M.; Calandriello, D.; Traversaro, S.; Rosasco, L.; Pucci, D.

Agent-Based Markov Modeling for Improved COVID-19 Mitigation Policies

2021 - THE JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

Capobianco, R.; Kompella, V.; Ault, J.; Sharon, G.; Jong, S.; Fox, S.; Meyers, L.; Wurman, P. R.; Stone, P.

Autonomous Planetary Landing via Deep Reinforcement Learning and Transfer Learning

2021 - IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Ciabatti, Giulia; Daftry, Shreyansh; Capobianco, Roberto

Improving Sample Efficiency in Behavior Learning by Using Sub-optimal Planners for Robots

2021 - RoboCup 2021: Robot World Cup XXIV

Antonioni, Emanuele; Nardi, Daniele; Riccio, Francesco

Hierarchical RL for load balancing and QoS management in multi-access networks

2021 - 2021 29th Mediterranean Conference on Control and Automation, MED 2021

Ornatelli, A.; Tortorelli, A.; Giuseppi, A.; Priscoli, F. D.

Autonomous Guidance for Cislunar Orbit Transfers via Reinforcement Learning

2021 - Advances in the Astronautical Sciences

Federici, Lorenzo; Scorsoglio, Andrea; Zavoli, Alessandro; Furfaro, Roberto

Deep Reinforcement Learning Control of White-Light Continuum Generation

2021 - 2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021

Valensise, C. M.; Vernuccio, F.; Giuseppi, A.; Cerullo, G.; Polli, D.