Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework

30 December 2019

Papers citing "Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework"

22 / 22 papers shown

Title
Recursive Deep Inverse Reinforcement Learning Paul Ghanem Michael Potter Owen Howell Pau Closas A. Ramezani Deniz Erdogmus Tales Imbiriba 32 0 0 17 Apr 2025
Imperative MPC: An End-to-End Self-Supervised Learning with Differentiable MPC for UAV Attitude Control Haonan He Yuheng Qiu Junyi Geng 83 0 0 17 Apr 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy Chen Wang Kaiyi Ji Junyi Geng Zhongqiang Ren Taimeng Fu ... Yi Du Qihang Li Yuqing Yang Xiao Lin Zhipeng Zhao SSL 86 9 0 28 Jan 2025
Online Control-Informed Learning Zihao Liang Tianyu Zhou Zehui Lu Shaoshuai Mou 33 1 0 04 Oct 2024
A Unified Framework for Neural Computation and Learning Over Time S. Melacci Alessandro Betti Michele Casoni Tommaso Guidi Matteo Tiezzi Marco Gori AI4TS 28 0 0 18 Sep 2024
A Pontryagin Perspective on Reinforcement Learning Onno Eberhard Claire Vernade Michael Muehlebach 43 2 0 28 May 2024
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning Weikang Wan Ziyu Wang Zackory M. Erickson David Held David Held 31 4 0 08 Feb 2024
DiffTune-MPC: Closed-Loop Learning for Model Predictive Control Ran Tao Sheng Cheng Xiaofeng Wang Shenlong Wang N. Hovakimyan 24 5 0 18 Dec 2023
Adaptive Policy Learning to Additional Tasks Wenjian Hao Zehui Lu Zihao Liang Tianyu Zhou Shaoshuai Mou 19 0 0 24 May 2023
A differentiable programming framework for spin models T. S. Farias V. V. Schultz José C. M. Mombach Jonas Maziero 24 0 0 04 Apr 2023
Vehicular Applications of Koopman Operator Theory -- A Survey W. Manzoor S. Rawashdeh Aliasgar Mohammadi 17 17 0 18 Mar 2023
Stretched and measured neural predictions of complex network dynamics V. Vasiliauskaite Nino Antulov-Fantulin 25 1 0 12 Jan 2023
Task-Driven Hybrid Model Reduction for Dexterous Manipulation Wanxin Jin Michael Posa 35 15 0 30 Nov 2022
Neural ODEs as Feedback Policies for Nonlinear Optimal Control I. O. Sandoval Panagiotis Petsagkourakis Ehecatl Antonio del Rio Chanona 22 9 0 20 Oct 2022
Cooperative Tuning of Multi-Agent Optimal Control Systems Zehui Lu Wanxin Jin Shaoshuai Mou B.D.O. Anderson 21 9 0 24 Sep 2022
Heuristic-free Optimization of Force-Controlled Robot Search Strategies in Stochastic Environments Bastian Alt Darko Katic Rainer Jäkel Michael Beetz 21 6 0 15 Jul 2022
Myriad: a real-world testbed to bridge trajectory optimization and deep learning Nikolaus H. R. Howe Simon Dufort-Labbé Nitarshan Rajkumar Pierre-Luc Bacon 29 5 0 22 Feb 2022
Optimal Feedback Control for Modeling Human-Computer Interaction F. Fischer A. Fleig Markus Klar J. Müller 9 15 0 01 Oct 2021
Differentiable Moving Horizon Estimation for Robust Flight Control Bingheng Wang Zhengtian Ma Shupeng Lai Lin Zhao Tong-heng Lee 40 6 0 06 Aug 2021
Implicit energy regularization of neural ordinary-differential-equation control Lucas Böttcher Nino Antulov-Fantulin Thomas Asikis 21 67 0 11 Mar 2021
Learning from Human Directional Corrections Wanxin Jin Todd D. Murphey Zehui Lu Shaoshuai Mou 36 15 0 30 Nov 2020
Learning from Sparse Demonstrations Wanxin Jin Todd D. Murphey Dana Kulić Neta Ezer Shaoshuai Mou 16 35 0 05 Aug 2020