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cs.LG2026
Dynamic multi-agent deep reinforcement learning-based pricing and incentivization approach in multimodal transportation networks
Khadidja Kadem, Mostafa Ameli, Carlos Lima Azevedo +2
In multimodal transportation systems, shared mobility services (SMSs) are promoted for their potential to enhance flexibility and reduce congestion. However, SMS demand is often co…
cs.LG2025
Federated Dynamic Modeling and Learning for Spatiotemporal Data Forecasting
Thien Pham, Angelo Furno, Faïcel Chamroukhi +1
This paper presents an advanced Federated Learning (FL) framework for forecasting complex spatiotemporal data, improving upon recent state-of-the-art models. In the proposed approa…