Shambhuraj Sawant

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 9

Top Topics

Gradient Method

Markov Decision Process

Reinforcement Learning

Top Venues

Publications

Dirk Reinhardt, Akhil S. Anand, Shambhuraj Sawant, Sebastien Gros
Economic Model Predictive Control as a Solution to Markov Decision Processes. CoRR (2024)
Akhil S. Anand, Dirk Reinhardt, Shambhuraj Sawant, Jan Tommy Gravdahl, Sebastien Gros
A Painless Deterministic Policy Gradient Method for Learning-based MPC. ECC (2023)
Shambhuraj Sawant, Dirk Reinhardt, Arash Bahari Kordabad, Sebastien Gros
Model-Free Data-Driven Predictive Control Using Reinforcement Learning. CDC (2023)
Wenqi Cai, Shambhuraj Sawant, Dirk Reinhardt, Soroush Rastegarpour, Sébastien Gros
A Learning-Based Model Predictive Control Strategy for Home Energy Management Systems. IEEE Access 11 (2023)
Shambhuraj Sawant, Akhil S. Anand, Dirk Reinhardt, Sebastien Gros
Learning-based MPC from Big Data Using Reinforcement Learning. CoRR (2023)
Shambhuraj Sawant, Sebastien Gros
Bridging the gap between QP-based and MPC-based RL. CoRR (2022)
Cristina Pinneri, Shambhuraj Sawant, Sebastian Blaes, Georg Martius
Extracting Strong Policies for Robotics Tasks from Zero-Order Trajectory Optimizers. ICLR (2021)
Cristina Pinneri, Shambhuraj Sawant, Sebastian Blaes, Jan Achterhold, Joerg Stueckler, Michal Rolinek, Georg Martius
Sample-efficient Cross-Entropy Method for Real-time Planning. CoRL (2020)
Cristina Pinneri, Shambhuraj Sawant, Sebastian Blaes, Jan Achterhold, Jörg Stückler, Michal Rolinek, Georg Martius
Sample-efficient Cross-Entropy Method for Real-time Planning. CoRR (2020)