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Deep Koopman Operator with Control for Nonlinear Systems
v1v2 (latest)

Deep Koopman Operator with Control for Nonlinear Systems

16 February 2022
Hao-bin Shi
Max Meng
ArXiv (abs)PDFHTML

Papers citing "Deep Koopman Operator with Control for Nonlinear Systems"

17 / 17 papers shown
Title
A Probabilistic Model for Skill Acquisition with Switching Latent Feedback Controllers
A Probabilistic Model for Skill Acquisition with Switching Latent Feedback Controllers
Juyan Zhang
Dana Kulic
Michael Burke
77
0
0
18 Oct 2024
Imitation Learning with Limited Actions via Diffusion Planners and Deep Koopman Controllers
Imitation Learning with Limited Actions via Diffusion Planners and Deep Koopman Controllers
Jianxin Bi
Kelvin Lim
Kaiqi Chen
Yifei Huang
Harold Soh
93
1
0
10 Oct 2024
Deep Koopman-layered Model with Universal Property Based on Toeplitz Matrices
Deep Koopman-layered Model with Universal Property Based on Toeplitz Matrices
Yuka Hashimoto
Tomoharu Iwata
72
0
0
03 Oct 2024
Koopman Operators in Robot Learning
Koopman Operators in Robot Learning
Lu Shi
Masih Haseli
Giorgos Mamakoukas
Daniel Bruder
Ian Abraham
Todd Murphey
Jorge Cortes
Konstantinos Karydis
AI4CE
94
8
0
08 Aug 2024
Modern Koopman Theory for Dynamical Systems
Modern Koopman Theory for Dynamical Systems
Steven L. Brunton
M. Budišić
E. Kaiser
J. Nathan Kutz
AI4CE
118
420
0
24 Feb 2021
Deep Learning of Koopman Representation for Control
Deep Learning of Koopman Representation for Control
Yiqiang Han
Wenjian Hao
Umesh Vaidya
AI4CE
38
110
0
15 Oct 2020
Derivative-Based Koopman Operators for Real-Time Control of Robotic
  Systems
Derivative-Based Koopman Operators for Real-Time Control of Robotic Systems
Giorgos Mamakoukas
Maria L. Castaño
Xiaobo Tan
Todd Murphey
67
92
0
12 Oct 2020
Forecasting Sequential Data using Consistent Koopman Autoencoders
Forecasting Sequential Data using Consistent Koopman Autoencoders
Omri Azencot
N. Benjamin Erichson
Vanessa Lin
Michael W. Mahoney
AI4TSAI4CE
185
152
0
04 Mar 2020
Learning Compositional Koopman Operators for Model-Based Control
Learning Compositional Koopman Operators for Model-Based Control
Yunzhu Li
Hao He
Jiajun Wu
Dina Katabi
Antonio Torralba
103
121
0
18 Oct 2019
Benchmarking Model-Based Reinforcement Learning
Benchmarking Model-Based Reinforcement Learning
Tingwu Wang
Xuchan Bao
I. Clavera
Jerrick Hoang
Yeming Wen
Eric D. Langlois
Matthew Shunshi Zhang
Guodong Zhang
Pieter Abbeel
Jimmy Ba
OffRL
71
364
0
03 Jul 2019
Recent Advances in Autoencoder-Based Representation Learning
Recent Advances in Autoencoder-Based Representation Learning
Michael Tschannen
Olivier Bachem
Mario Lucic
OODSSLDRL
78
446
0
12 Dec 2018
Invertible Residual Networks
Invertible Residual Networks
Jens Behrmann
Will Grathwohl
Ricky T. Q. Chen
David Duvenaud
J. Jacobsen
UQCVTPM
159
624
0
02 Nov 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
317
8,420
0
04 Jan 2018
Deep learning for universal linear embeddings of nonlinear dynamics
Deep learning for universal linear embeddings of nonlinear dynamics
Bethany Lusch
J. Nathan Kutz
Steven L. Brunton
81
1,260
0
27 Dec 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
547
19,296
0
20 Jul 2017
OpenAI Gym
OpenAI Gym
Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
OffRLODL
225
5,087
0
05 Jun 2016
Embed to Control: A Locally Linear Latent Dynamics Model for Control
  from Raw Images
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
Manuel Watter
Jost Tobias Springenberg
Joschka Boedecker
Martin Riedmiller
BDL
88
847
0
24 Jun 2015
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