Learning Compositional Koopman Operators for Model-Based Control

18 October 2019

Yunzhu Li

Hao He

Jiajun Wu

Dina Katabi

Antonio Torralba

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Papers citing "Learning Compositional Koopman Operators for Model-Based Control"

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Title
Augmented Invertible Koopman Autoencoder for long-term time series forecasting Anthony Frion Lucas Drumetz M. Dalla Mura Guillaume Tochon Abdeldjalil Aissa El Bey AI4TS 51 0 0 17 Mar 2025
Towards LLM-guided Efficient and Interpretable Multi-linear Tensor Network Rank Selection Giorgos Iacovides Wuyang Zhou Danilo Mandic 39 1 0 14 Oct 2024
Imitation Learning with Limited Actions via Diffusion Planners and Deep Koopman Controllers Jianxin Bi Kelvin Lim Kaiqi Chen Yifei Huang Harold Soh 43 0 0 10 Oct 2024
Learning Koopman Dynamics for Safe Legged Locomotion with Reinforcement Learning-based Controller Jeonghwan Kim Yunhai Han Harish Ravichandar Sehoon Ha 59 2 0 23 Sep 2024
KOROL: Learning Visualizable Object Feature with Koopman Operator Rollout for Manipulation Hongyi Chen Abulikemu Abuduweili Aviral Agrawal Yunhai Han Harish Ravichandar Changliu Liu Jeffrey Ichnowski 52 5 0 29 Jun 2024
VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series Forecasting Yingnan Yang Qingling Zhu Jianyong Chen AI4TS 32 5 0 19 May 2024
LaPlaSS: Latent Space Planning for Stochastic Systems Marlyse Reeves Brian C. Williams 31 0 0 10 Apr 2024
Phase autoencoder for limit-cycle oscillators K. Yawata Kai Fukami Kunihiko Taira Hiroya Nakao 48 7 0 28 Feb 2024
Latent Neural PDE Solver: a reduced-order modelling framework for partial differential equations Zijie Li Saurabh Patil Francis Ogoke Dule Shu Wilson Zhen Michael Schneier John R. Buchanan A. Farimani AI4CE 42 5 0 27 Feb 2024
Generalizing across Temporal Domains with Koopman Operators Qiuhao Zeng Wei Wang Fan Zhou Gezheng Xu Ruizhi Pu Changjian Shui Christian Gagné Shichun Yang Boyu Wang Charles Ling OOD AI4CE 31 8 0 12 Feb 2024
Model-Based Control with Sparse Neural Dynamics Ziang Liu Genggeng Zhou Jeff He Tobia Marcucci Fei-Fei Li Jiajun Wu Yunzhu Li AI4CE 40 17 0 20 Dec 2023
Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and Planning Zhiting Hu Tianmin Shu LLMAG LM&Ro LRM 110 35 0 08 Dec 2023
Neural Field Dynamics Model for Granular Object Piles Manipulation Shangjie Xue Shuo Cheng Pujith Kachana Danfei Xu AI4CE 34 6 0 01 Nov 2023
Estimating Material Properties of Interacting Objects Using Sum-GP-UCB M. Yunus Seker Oliver Kroemer 24 2 0 18 Oct 2023
Neural Koopman prior for data assimilation Anthony Frion Lucas Drumetz M. Dalla Mura Guillaume Tochon Abdeldjalil Aissa El Bey AI4TS AI4CE 29 4 0 11 Sep 2023
Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning Marcel Hussing Jorge Armando Mendez Mendez Anisha Singrodia Cassandra Kent Eric Eaton OffRL 33 5 0 13 Jul 2023
Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings H. Cao Y. Mao L. Sha Marco Caccamo PINN AI4CE 36 5 0 26 May 2023
Learning Linear Embeddings for Non-Linear Network Dynamics with Koopman Message Passing King Fai Yeh Paris D. L. Flood William T. Redman Pietro Lio 30 1 0 15 May 2023
Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems Andreas Look M. Kandemir Barbara Rakitsch Jan Peters BDL 36 6 0 02 May 2023
Multifactor Sequential Disentanglement via Structured Koopman Autoencoders Nimrod Berman Ilana D Naiman Omri Azencot CoGe 32 22 0 30 Mar 2023
On the Utility of Koopman Operator Theory in Learning Dexterous Manipulation Skills Yunhai Han Mandy Xie Ye Zhao Harish Ravichandar 34 17 0 23 Mar 2023
Leveraging Neural Koopman Operators to Learn Continuous Representations of Dynamical Systems from Scarce Data Anthony Frion Lucas Drumetz M. Dalla Mura Guillaume Tochon Abdeldjalil Aissa El Bey AI4TS AI4CE 21 5 0 13 Mar 2023
Neural Partial Differential Equations with Functional Convolution Z. Wu Xingzhe He Yijun Li Cheng Yang Rui Liu S. Xiong Bo Zhu 23 1 0 10 Mar 2023
Modeling Nonlinear Dynamics in Continuous Time with Inductive Biases on Decay Rates and/or Frequencies Tomoharu Iwata Yoshinobu Kawahara AI4TS AI4CE 28 0 0 26 Dec 2022
Eigenvalue initialisation and regularisation for Koopman autoencoders Jack W. Miller Charles OÑeill N. Constantinou Omri Azencot 17 2 0 23 Dec 2022
Physics-Informed Koopman Network Yuying Liu A. Sholokhov Hassan Mansour S. Nabi AI4CE 31 3 0 17 Nov 2022
QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning Di Luo Jiayu Shen Rumen Dangovski Marin Soljacic 37 5 0 02 Nov 2022
Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts Rui Wang Yihe Dong Sercan Ö. Arik Rose Yu AI4TS 44 25 0 07 Oct 2022
Parameter-varying neural ordinary differential equations with partition-of-unity networks Kookjin Lee N. Trask 27 2 0 01 Oct 2022
Phy-Taylor: Physics-Model-Based Deep Neural Networks Y. Mao L. Sha Huajie Shao Yuliang Gu Qixin Wang Tarek F. Abdelzaher PINN AI4CE 34 1 0 27 Sep 2022
Data-driven End-to-end Learning of Pole Placement Control for Nonlinear Dynamics via Koopman Invariant Subspaces Tomoharu Iwata Yoshinobu Kawahara 19 3 0 16 Aug 2022
Graph Inverse Reinforcement Learning from Diverse Videos Sateesh Kumar Jonathan Zamora Nicklas Hansen Rishabh Jangir Xiaolong Wang 35 53 0 28 Jul 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition Jorge Armando Mendez Mendez Eric Eaton KELM CLL 37 27 0 15 Jul 2022
Making Linear MDPs Practical via Contrastive Representation Learning Tianjun Zhang Tongzheng Ren Mengjiao Yang Joseph E. Gonzalez Dale Schuurmans Bo Dai 25 44 0 14 Jul 2022
Control of Two-way Coupled Fluid Systems with Differentiable Solvers B. Ramos Felix Trost Nils Thuerey AI4CE 17 5 0 01 Jun 2022
Transformer for Partial Differential Equations' Operator Learning Zijie Li Kazem Meidani A. Farimani 47 145 0 26 May 2022
Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction Yining Hong Kaichun Mo L. Yi Leonidas J. Guibas Antonio Torralba J. Tenenbaum Chuang Gan 42 5 0 05 May 2022
Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations Maximilian Mueller Robin Greif Frank Jenko Nils Thuerey 24 3 0 02 May 2022
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning Chuizheng Meng Sungyong Seo Defu Cao Sam Griesemer Yan Liu PINN AI4CE 51 57 0 31 Mar 2022
Learning continuous models for continuous physics Aditi S. Krishnapriyan A. Queiruga N. Benjamin Erichson Michael W. Mahoney AI4CE 32 33 0 17 Feb 2022
Deep Koopman Operator with Control for Nonlinear Systems Hao-bin Shi Max Q.-H. Meng 17 75 0 16 Feb 2022
Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics Matthias Weissenbacher Samarth Sinha Animesh Garg Yoshinobu Kawahara OffRL 30 21 0 02 Nov 2021
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language Mingyu Ding Zhenfang Chen Tao Du Ping Luo J. Tenenbaum Chuang Gan VGen PINN OCL 38 74 0 28 Oct 2021
Learn Proportional Derivative Controllable Latent Space from Pixels Weiyao Wang Marin Kobilarov Gregory Hager 51 1 0 15 Oct 2021
Self-Supervised Decomposition, Disentanglement and Prediction of Video Sequences while Interpreting Dynamics: A Koopman Perspective Armand Comas Massague S. Ghimire Haolin Li Octavia Camps Mario Sznaier 32 2 0 01 Oct 2021
Vision-based system identification and 3D keypoint discovery using dynamics constraints Miguel Jaques Martin Asenov Michael G. Burke Timothy M. Hospedales 38 4 0 13 Sep 2021
Deep Learning Enhanced Dynamic Mode Decomposition D. J. Alford-Lago C. Curtis Alexander T. Ihler Opal Issan 32 34 0 10 Aug 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 46 65 0 02 Jul 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
Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations Yingtao Luo Qiang Liu Yuntian Chen Wenbo Hu Tian Tian Jun Zhu DiffM 53 4 0 02 Jun 2021