Sebastien Gros

TSFMs for predictive control fail to capture system dynamics without explicit control excitation in their inference context, even with low forecasting error.

Two-timescale Q-learning closes the reality gap on physical hardware, delivering an 8.6% profit boost over standard economic MPC while maintaining input feasibility and empirical path constraints under real-world noise.