Learning Stable Deep Dynamics Models

17 January 2020

J. Zico Kolter

Papers citing "Learning Stable Deep Dynamics Models"

50 / 54 papers shown

Title
Negative Imaginary Neural ODEs: Learning to Control Mechanical Systems with Stability Guarantees Kanghong Shi Ruigang Wang I. Manchester 24 0 0 28 Apr 2025
Learning Geometrically-Informed Lyapunov Functions with Deep Diffeomorphic RBF Networks Samuel Tesfazgi Leonhard Sprandl Sandra Hirche AAML 44 0 0 03 Apr 2025
Neural Lyapunov Function Approximation with Self-Supervised Reinforcement Learning Luc McCutcheon Bahman Gharesifard Saber Fallah 46 0 0 19 Mar 2025
Is Bellman Equation Enough for Learning Control? Haoxiang You Lekan Molu Ian Abraham 68 0 0 04 Mar 2025
Learning to Decouple Complex Systems Zihan Zhou Tianshu Yu BDL 74 4 0 17 Feb 2025
Stable Port-Hamiltonian Neural Networks Fabian J. Roth Dominik K. Klein Maximilian Kannapinn Jan Peters Oliver Weeger 72 1 0 04 Feb 2025
Neural Continuous-Time Supermartingale Certificates Grigory Neustroev Mirco Giacobbe Anna Lukina 33 2 0 23 Dec 2024
TL-PCA: Transfer Learning of Principal Component Analysis Sharon Hendy Yehuda Dar 161 1 0 14 Oct 2024
Pareto Control Barrier Function for Inner Safe Set Maximization Under Input Constraints Xiaoyang Cao Zhe Fu Alexandre M. Bayen 30 0 0 05 Oct 2024
Single-Shot Learning of Stable Dynamical Systems for Long-Horizon Manipulation Tasks Alexandre St-Aubin Amin Abyaneh Hsiu-Chin Lin 39 1 0 01 Oct 2024
Bridging Autoencoders and Dynamic Mode Decomposition for Reduced-order Modeling and Control of PDEs Priyabrata Saha Saibal Mukhopadhyay AI4CE 28 0 0 09 Sep 2024
Learning and Verifying Maximal Taylor-Neural Lyapunov functions Matthieu Barreau Nicola Bastianello 29 1 0 30 Aug 2024
Combining Neural Networks and Symbolic Regression for Analytical Lyapunov Function Discovery Jie Feng Haohan Zou Yuanyuan Shi 35 2 0 21 Jun 2024
The Power of Next-Frame Prediction for Learning Physical Laws T. Winterbottom G. Hudson Daniel Kluvanec Dean L. Slack Jamie Sterling Junjie Shentu Chenghao Xiao Zheming Zhou Noura Al Moubayed 29 1 0 21 May 2024
Learning Stable and Passive Neural Differential Equations Jing Cheng Ruigang Wang I. Manchester 34 3 0 19 Apr 2024
Learning Deep Dynamical Systems using Stable Neural ODEs Andreas Sochopoulos Michael Gienger S. Vijayakumar 30 4 0 16 Apr 2024
Fusion Dynamical Systems with Machine Learning in Imitation Learning: A Comprehensive Overview Yingbai Hu Fares J. Abu-Dakka Fei Chen Xiao Luo Zheng Li Alois C. Knoll Weiping Ding AI4CE 38 7 0 29 Mar 2024
Globally Stable Neural Imitation Policies Amin Abyaneh Mariana Sosa Guzmán Hsiu-Chin Lin 43 2 0 07 Mar 2024
Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees Sean Jaffe A. Davydov Deniz Lapsekili Ambuj K. Singh Francesco Bullo 22 2 0 12 Feb 2024
Stable Autonomous Flow Matching Christopher Iliffe Sprague Arne Elofsson Hossein Azizpour 41 1 0 08 Feb 2024
Meta-Learning-Based Adaptive Stability Certificates for Dynamical Systems Amit Jena D. Kalathil Le Xie 22 3 0 23 Dec 2023
Data-Driven Control with Inherent Lyapunov Stability Youngjae Min Spencer M. Richards Navid Azizan 24 7 0 06 Mar 2023
Learning High Dimensional Demonstrations Using Laplacian Eigenmaps Sthithpragya Gupta A. Nayak A. Billard 11 2 0 18 Jul 2022
Distributed Learning of Neural Lyapunov Functions for Large-Scale Networked Dissipative Systems Amit Jena Tong Huang S. Sivaranjani D. Kalathil Le Xie 14 2 0 15 Jul 2022
Stable Invariant Models via Koopman Spectra Takuya Konishi Yoshinobu Kawahara 20 3 0 15 Jul 2022
Neural Lyapunov Differentiable Predictive Control Sayak Mukherjee Ján Drgoňa Aaron Tuor M. Halappanavar D. Vrabie 39 13 0 22 May 2022
Bridging Model-based Safety and Model-free Reinforcement Learning through System Identification of Low Dimensional Linear Models Zhongyu Li Jun Zeng A. Thirugnanam K. Sreenath 24 16 0 11 May 2022
VPNets: Volume-preserving neural networks for learning source-free dynamics Aiqing Zhu Beibei Zhu Jiawei Zhang Yifa Tang Jian-Dong Liu 31 3 0 29 Apr 2022
Learning Stabilizable Deep Dynamics Models Kenji Kashima Ryota Yoshiuchi Yutaka Kawano 21 4 0 18 Mar 2022
Safe Control with Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction methods Charles Dawson Sicun Gao Chuchu Fan 33 229 0 23 Feb 2022
Input-to-State Stable Neural Ordinary Differential Equations with Applications to Transient Modeling of Circuits Alan Yang J. Xiong Maxim Raginsky E. Rosenbaum AI4TS 16 4 0 14 Feb 2022
Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning Said Ouala Steven L. Brunton A. Pascual Bertrand Chapron F. Collard L. Gaultier Ronan Fablet PINN AI4TS AI4CE 18 10 0 11 Feb 2022
LyaNet: A Lyapunov Framework for Training Neural ODEs I. D. Rodriguez Aaron D. Ames Yisong Yue 33 51 0 05 Feb 2022
Training Recurrent Neural Networks by Sequential Least Squares and the Alternating Direction Method of Multipliers Alberto Bemporad 19 11 0 31 Dec 2021
Learning Contraction Policies from Offline Data Navid Rezazadeh Maxwell Kolarich Solmaz S. Kia Negar Mehr OffRL 16 7 0 11 Dec 2021
On the Stochastic Stability of Deep Markov Models Ján Drgoňa Sayak Mukherjee Jiaxin Zhang Frank Liu M. Halappanavar BDL 17 5 0 08 Nov 2021
Dynamic Mirror Descent based Model Predictive Control for Accelerating Robot Learning Utkarsh Aashu Mishra Soumya R. Samineni Prakhar Goel Chandravaran Kunjeti Himanshu Lodha Aman Singh Aditya Sagi S. Bhatnagar Shishir Kolathaya 21 3 0 04 Nov 2021
Physics-informed linear regression is competitive with two Machine Learning methods in residential building MPC Felix Bünning B. Huber Adrian Schalbetter Ahmed Aboudonia Mathias Hudoba de Badyn Philipp Heer Roy S. Smith John Lygeros AI4CE 16 65 0 29 Oct 2021
Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems Andreas Schlaginhaufen Philippe Wenk Andreas Krause Florian Dorfler 29 15 0 27 Oct 2021
Policy Search using Dynamic Mirror Descent MPC for Model Free Off Policy RL Aarush Gupta 23 0 0 23 Oct 2021
Offline Reinforcement Learning for Autonomous Driving with Safety and Exploration Enhancement Tianyu Shi Dong Chen Kaian Chen Zhaojian Li OffRL 20 31 0 13 Oct 2021
Koopman Spectrum Nonlinear Regulators and Efficient Online Learning Motoya Ohnishi Isao Ishikawa Kendall Lowrey Masahiro Ikeda Sham Kakade Yoshinobu Kawahara 21 5 0 30 Jun 2021
Active Learning in Robotics: A Review of Control Principles Annalisa T. Taylor Thomas A. Berrueta Todd D. Murphey 27 70 0 25 Jun 2021
Model Error Propagation via Learned Contraction Metrics for Safe Feedback Motion Planning of Unknown Systems Glen Chou N. Ozay Dmitry Berenson 24 25 0 18 Apr 2021
Learning Deep Energy Shaping Policies for Stability-Guaranteed Manipulation S. A. Khader Hang Yin Pietro Falco Danica Kragic 10 12 0 30 Mar 2021
Almost Surely Stable Deep Dynamics Nathan P. Lawrence Philip D. Loewen M. Forbes Johan U. Backstrom R. Bhushan Gopaluni BDL 34 20 0 26 Mar 2021
Meta-Learning Dynamics Forecasting Using Task Inference Rui Wang Robin G. Walters Rose Yu OOD AI4TS AI4CE 24 31 0 20 Feb 2021
A Data Driven Method for Computing Quasipotentials Bo Lin Qianxiao Li W. Ren 16 13 0 13 Dec 2020
Dissipative Deep Neural Dynamical Systems Ján Drgoňa Soumya Vasisht Aaron Tuor D. Vrabie 21 6 0 26 Nov 2020
Physics-constrained Deep Learning of Multi-zone Building Thermal Dynamics Ján Drgoňa Aaron Tuor V. Chandan D. Vrabie AI4CE 24 115 0 11 Nov 2020