activity
20242026
most citedSynthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification

1 citations · 3 across the 10 of their papers we have counts for

collaborators
Showing 2026Show all

2 papers · 1 filter

eess.SY2026

Solving Markov Decision Processes with Future Information via MPC

Shambhuraj Sawant, Akhil S Anand, Dirk Reinhardt +1

Model Predictive Control (MPC) is widely used in industrial and robotic systems for enforcing constraints and embedding domain knowledge through finite-horizon optimization-based p…

eess.SY2026

Uncertainty Propagation under Residual Disturbances: A Smart-Home Case Study

Guanru Pan, Dirk Reinhardt, Sebastien Gros +1

This paper presents a data-driven framework for uncertainty propagation under unmeasured or statistically unmodeled (unstructured) disturbances. We consider residual disturbances,…