DiffTune-MPC: Closed-Loop Learning for Model Predictive Control

DiffTune-MPC: Closed-Loop Learning for Model Predictive Control

18 December 2023

Shenlong Wang

Papers citing "DiffTune-MPC: Closed-Loop Learning for Model Predictive Control"

7 / 7 papers shown

Title
Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Rudolf Reiter Jasper Hoffmann D. Reinhardt Florian Messerer Katrin Baumgärtner Shamburaj Sawant Joschka Boedecker Moritz Diehl S. Gros 87 5 0 04 Feb 2025
Autotuning Bipedal Locomotion MPC with GRFM-Net for Efficient Sim-to-Real Transfer Qianzhong Chen Junheng Li Sheng Cheng N. Hovakimyan Quan Nguyen 24 0 0 24 Sep 2024
Auto-Multilift: Distributed Learning and Control for Cooperative Load Transportation With Quadrotors Bingheng Wang Rui Huang Kuankuan Sima Lin Zhao 48 0 0 07 Jun 2024
An Optimization-Based Planner with B-spline Parameterized Continuous-Time Reference Signals Chuyuan Tao Sheng Cheng Yang Zhao Fanxin Wang N. Hovakimyan 32 0 0 29 Mar 2024
Training Efficient Controllers via Analytic Policy Gradient Nina Wiedemann Valentin Wüest Antonio Loquercio M. Müller Dario Floreano Davide Scaramuzza OffRL 21 18 0 26 Sep 2022
DiffTune: Auto-Tuning through Auto-Differentiation Sheng Cheng Minkyung Kim Lin Song Chengyu Yang Zhuohuan Wu Shenlong Wang N. Hovakimyan 31 6 0 20 Sep 2022
Data-Driven MPC for Quadrotors G. Torrente Elia Kaufmann Philip Föhn Davide Scaramuzza 83 208 0 10 Feb 2021