Active Learning of Dynamics for Data-Driven Control Using Koopman Operators

12 June 2019

Papers citing "Active Learning of Dynamics for Data-Driven Control Using Koopman Operators"

24 / 24 papers shown

Title
Shared Control with Black Box Agents using Oracle Queries Inbal Avraham Reuth Mirsky 84 0 0 24 Feb 2025
On the Surprising Effectiveness of Spectrum Clipping in Learning Stable Linear Dynamics Hanyao Guo Yunhai Han Harish Ravichandar 130 0 0 02 Dec 2024
Online Control-Informed Learning Zihao Liang Tianyu Zhou Zehui Lu Shaoshuai Mou 100 1 0 04 Oct 2024
Koopman Operators in Robot Learning Lu Shi Masih Haseli Giorgos Mamakoukas Daniel Bruder Ian Abraham Todd Murphey Jorge Cortes Konstantinos Karydis AI4CE 107 8 0 08 Aug 2024
Fast Ergodic Search with Kernel Functions Muchen Sun Ayush Gaggar Peter Trautman Todd Murphey 75 7 0 03 Mar 2024
Learning Models for Shared Control of Human-Machine Systems with Unknown Dynamics Alexander Broad Todd Murphey B. Argall 40 48 0 24 Aug 2018
Deep learning for universal linear embeddings of nonlinear dynamics Bethany Lusch J. Nathan Kutz Steven L. Brunton 81 1,261 0 27 Dec 2017
Dynamic Task Execution using Active Parameter Identification with the Baxter Research Robot Andrew D. Wilson Jarvis A. Schultz Alex Ansari Todd Murphey 33 14 0 11 Sep 2017
Trajectory Synthesis for Fisher Information Maximization Andrew D. Wilson Jarvis A. Schultz Todd Murphey 50 38 0 11 Sep 2017
Model-Based Control Using Koopman Operators Ian Abraham G. D. L. Torre Todd Murphey 74 106 0 05 Sep 2017
Online Feedback Control for Input-Saturated Robotic Systems on Lie Groups Taosha Fan Todd Murphey 60 13 0 31 Aug 2017
Sequential Action Control: Closed-Form Optimal Control for Nonlinear and Nonsmooth Systems Alex Ansari Todd Murphey 40 78 0 30 Aug 2017
Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems Enoch Yeung Soumya Kundu Nathan Oken Hodas AI4CE 85 387 0 22 Aug 2017
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning Anusha Nagabandi G. Kahn R. Fearing Sergey Levine 106 976 0 08 Aug 2017
Preparing for the Unknown: Learning a Universal Policy with Online System Identification Wenhao Yu Jie Tan Chenxi Liu Greg Turk OffRL 105 309 0 08 Feb 2017
Variational Autoencoder for Deep Learning of Images, Labels and Captions Yunchen Pu Zhe Gan Ricardo Henao Xin Yuan Chunyuan Li Andrew Stevens Lawrence Carin BDL CoGe 94 755 0 28 Sep 2016
Benchmarking Deep Reinforcement Learning for Continuous Control Yan Duan Xi Chen Rein Houthooft John Schulman Pieter Abbeel OffRL 98 1,695 0 22 Apr 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 210 8,882 0 04 Feb 2016
Safe Controller Optimization for Quadrotors with Gaussian Processes Felix Berkenkamp Angela P. Schoellig Andreas Krause 81 301 0 03 Sep 2015
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images Manuel Watter Jost Tobias Springenberg Joschka Boedecker Martin Riedmiller BDL 101 847 0 24 Jun 2015
Incremental Sparse GP Regression for Continuous-time Trajectory Estimation & Mapping Xinyan Yan Vadim Indelman Byron Boots 65 45 0 10 Apr 2015
Gaussian Processes for Data-Efficient Learning in Robotics and Control M. Deisenroth Dieter Fox C. Rasmussen 146 695 0 10 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,433 0 22 Dec 2014
Active Learning of Inverse Models with Intrinsically Motivated Goal Exploration in Robots Adrien Baranes Pierre-Yves Oudeyer 158 442 0 21 Jan 2013