Sample-efficient Cross-Entropy Method for Real-time Planning. - Cristina Pinneri; Shambhuraj Sawant; Sebastian Blaes; Jan Achterhold; Joerg Stueckler; Michal Rolínek; Georg Martius (CoRL, 2020)

Extracting Strong Policies for Robotics Tasks from Zero-Order Trajectory Optimizers. - Cristina Pinneri; Shambhuraj Sawant; Sebastian Blaes; Georg Martius (ICLR, 2021)

Bridging the gap between QP-based and MPC-based RL. - Shambhuraj Sawant; Sebastien Gros (CoRR, 2022)

Model-Free Data-Driven Predictive Control Using Reinforcement Learning. - Shambhuraj Sawant; Dirk Reinhardt; Arash Bahari Kordabad; Sebastien Gros (CDC, 2023)

A Painless Deterministic Policy Gradient Method for Learning-based MPC. - Akhil S. Anand; Dirk Reinhardt; Shambhuraj Sawant; Jan Tommy Gravdahl; Sebastien Gros (ECC, 2023)

A Learning-Based Model Predictive Control Strategy for Home Energy Management Systems. - Wenqi Cai; Shambhuraj Sawant; Dirk Reinhardt; Soroush Rastegarpour; Sébastien Gros (IEEE Access, 2023)

Learning-based MPC from Big Data Using Reinforcement Learning. - Shambhuraj Sawant; Akhil S. Anand; Dirk Reinhardt; Sebastien Gros (CoRR, 2023)

Economic Model Predictive Control as a Solution to Markov Decision Processes. - Dirk Reinhardt; Akhil S. Anand; Shambhuraj Sawant; Sebastien Gros (CoRR, 2024)

All AI Models are Wrong, but Some are Optimal. - Akhil S. Anand; Shambhuraj Sawant; Dirk Reinhardt; Sebastien Gros (CoRR, 2025)