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…