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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

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