Preprint
Aug 2026
Sharing the Control Authority Between Deep Reinforcement Learning and Model Predictive Control: Application to Multi-Class Transportation Networks
A novel DRL-MPC framework for multi-class transportation networks that divides control authority between DRL and MPC is proposed, combining DRL's fast online computation and model independence with MPC's built-in optimization and constraint-handling capabilities.
G. Onur, A. Dabiri, B. de Schutter
· 1 citation