Matteo Cederle
Scholar

Matteo Cederle

Google Scholar ID: JvR-g-cAAAAJ
PhD Student, University of Padova
reinforcement learningartificial intelligencesmart mobilitydeep learning
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Citations & Impact
All-time
Citations
8
 
H-index
2
 
i10-index
0
 
Publications
7
 
Co-authors
5
list available
Contact
Emailmatteo.cederle@dei.unipd.it
Publications
7 items
Fully Dynamic Rebalancing in Dockless Bike-Sharing Systems via Deep Reinforcement Learning
2026
Cited
0
Balancing Efficiency and Fairness in Traffic Light Control through Deep Reinforcement Learning
2026
Cited
0
Towards Model-Free Learning in Dynamic Population Games: An Application to Karma Economies
2026
Cited
0
Towards Batch-to-Streaming Deep Reinforcement Learning for Continuous Control
2026
Cited
0
Explainable Anomaly Detection for Electric Vehicles Charging Stations
2025
Cited
0
Towards Explainable Anomaly Detection in Shared Mobility Systems
2025
Cited
0
A Fairness-Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromobility Services
arXiv.org · 2024
Cited
0
Resume (English only)
Research Experience
  • PhD student, affiliated with DEI (Department of Information Engineering).
Co-authors
5 total
Co-author 1
Co-author 1
Marco Fabris
Marco Fabris
Research fellow, University of Padova
Federico Chiariotti
Federico Chiariotti
Assistant Professor, University of Padova
Marina Ceccon
Marina Ceccon
Università degli studi di Padova
Alessandro Fabris
Alessandro Fabris
University of Trieste