Online Control-Informed Learning

4 October 2024

Papers citing "Online Control-Informed Learning"

46 / 46 papers shown

Title
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors Yong Liu Chenyu Li Jianmin Wang Mingsheng Long AI4TS 48 108 0 30 May 2023
Deep networks for system identification: a Survey G. Pillonetto Aleksandr Aravkin Daniel Gedon L. Ljung Antônio H. Ribeiro Thomas B. Schon OOD 49 38 0 30 Jan 2023
Deep Subspace Encoders for Nonlinear System Identification G. Beintema Maarten Schoukens R. Tóth 30 35 0 26 Oct 2022
KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics Guy Revach Nir Shlezinger Xiaoyong Ni Adrià López Escoriza Ruud J. G. van Sloun Yonina C. Eldar 43 273 0 21 Jul 2021
Safe Pontryagin Differentiable Programming Wanxin Jin Shaoshuai Mou George J. Pappas 58 39 0 31 May 2021
Implicit energy regularization of neural ordinary-differential-equation control Lucas Böttcher Nino Antulov-Fantulin Thomas Asikis 33 68 0 11 Mar 2021
Scalable Bayesian Inverse Reinforcement Learning Alex J. Chan M. Schaar OffRL BDL 41 67 0 12 Feb 2021
Learning from Human Directional Corrections Wanxin Jin Todd Murphey Zehui Lu Shaoshuai Mou 72 16 0 30 Nov 2020
Learning from Sparse Demonstrations Wanxin Jin Todd Murphey Dana Kulić Neta Ezer Shaoshuai Mou 39 36 0 05 Aug 2020
Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework Wanxin Jin Zhaoran Wang Zhuoran Yang Shaoshuai Mou 37 78 0 30 Dec 2019
Variational Integrator Networks for Physically Structured Embeddings Steindór Sæmundsson Alexander Terenin Katja Hofmann M. Deisenroth GNN AI4CE 35 49 0 21 Oct 2019
Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control Yaofeng Desmond Zhong Biswadip Dey Amit Chakraborty PINN 63 270 0 26 Sep 2019
Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning M. Lutter Christian Ritter Jan Peters PINN AI4CE 29 374 0 10 Jul 2019
Active Learning of Dynamics for Data-Driven Control Using Koopman Operators Ian Abraham Todd Murphey 26 163 0 12 Jun 2019
Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations Daniel S. Brown Wonjoon Goo P. Nagarajan S. Niekum 43 353 0 12 Apr 2019
Deep learning as optimal control problems: models and numerical methods Martin Benning E. Celledoni Matthias Joachim Ehrhardt B. Owren Carola-Bibiane Schönlieb 34 81 0 11 Apr 2019
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems Laura von Rueden S. Mayer Katharina Beckh B. Georgiev Sven Giesselbach ... Rajkumar Ramamurthy Michal Walczak Jochen Garcke Christian Bauckhage Jannis Schuecker 51 630 0 29 Mar 2019
Distilling Policy Distillation Wojciech M. Czarnecki Razvan Pascanu Simon Osindero Siddhant M. Jayakumar G. Swirszcz Max Jaderberg 38 132 0 06 Feb 2019
Imitation Learning from Imperfect Demonstration Yueh-hua Wu Nontawat Charoenphakdee Han Bao Voot Tangkaratt Masashi Sugiyama 17 157 0 27 Jan 2019
Task-Free Continual Learning Rahaf Aljundi Klaas Kelchtermans Tinne Tuytelaars CLL 104 357 0 10 Dec 2018
Differentiable MPC for End-to-end Planning and Control Brandon Amos I. D. Rodriguez Jacob Sacks Byron Boots J. Zico Kolter 39 366 0 31 Oct 2018
A Mean-Field Optimal Control Formulation of Deep Learning Weinan E Jiequn Han Qianxiao Li OOD 39 183 0 03 Jul 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 177 5,024 0 19 Jun 2018
A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress Saurabh Arora Prashant Doshi OffRL 58 602 0 18 Jun 2018
Self-Imitation Learning Junhyuk Oh Yijie Guo Satinder Singh Honglak Lee SSL 38 249 0 14 Jun 2018
Behavioral Cloning from Observation F. Torabi Garrett A. Warnell Peter Stone OffRL 81 715 0 04 May 2018
Universal Planning Networks A. Srinivas Allan Jabri Pieter Abbeel Sergey Levine Chelsea Finn SSL 53 145 0 02 Apr 2018
Inverse Optimal Control from Incomplete Trajectory Observations Wanxin Jin Dana Kulic Shaoshuai Mou Sandra Hirche 25 48 0 21 Mar 2018
An Optimal Control Approach to Deep Learning and Applications to Discrete-Weight Neural Networks Qianxiao Li Shuji Hao 39 75 0 04 Mar 2018
Composable Planning with Attributes Amy Zhang Adam Lerer Sainbayar Sukhbaatar Rob Fergus Arthur Szlam 61 64 0 01 Mar 2018
MPC-Inspired Neural Network Policies for Sequential Decision Making M. Pereira David D. Fan G. N. An Evangelos Theodorou BDL 35 38 0 15 Feb 2018
Maximum Principle Based Algorithms for Deep Learning Qianxiao Li Long Chen Cheng Tai E. Weinan 41 222 0 26 Oct 2017
Control-Oriented Learning on the Fly Melkior Ornik Arie Israel Ufuk Topcu 18 18 0 14 Sep 2017
Second-Order Optimization for Non-Convex Machine Learning: An Empirical Study Peng Xu Farbod Roosta-Khorasani Michael W. Mahoney ODL 44 143 0 25 Aug 2017
Path Integral Networks: End-to-End Differentiable Optimal Control Masashi Okada Luca Rigazio T. Aoshima PINN 46 56 0 29 Jun 2017
Deep Learning Approximation for Stochastic Control Problems Jiequn Han E. Weinan BDL 39 193 0 02 Nov 2016
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 98 3,084 0 10 Jun 2016
Predicting Personal Traits from Facial Images using Convolutional Neural Networks Augmented with Facial Landmark Information Yoad Lewenberg Valliappa Chockalingam Satinder Singh Honglak Lee CVBM 38 304 0 29 May 2016
Unsupervised Learning for Physical Interaction through Video Prediction Chelsea Finn Ian Goodfellow Sergey Levine 43 1,042 0 23 May 2016
End to End Learning for Self-Driving Cars Mariusz Bojarski D. Testa Daniel Dworakowski Bernhard Firner B. Flepp ... Urs Muller Jiakai Zhang Xin Zhang Jake Zhao Karol Zieba SSL 34 4,153 0 25 Apr 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Martín Abadi Ashish Agarwal P. Barham E. Brevdo Zhiwen Chen ... Pete Warden Martin Wattenberg Martin Wicke Yuan Yu Xiaoqiang Zheng 135 11,135 0 14 Mar 2016
Continuous Deep Q-Learning with Model-based Acceleration S. Gu Timothy Lillicrap Ilya Sutskever Sergey Levine 53 1,009 0 02 Mar 2016
Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics Felix Berkenkamp Andreas Krause Angela P. Schoellig 123 281 0 14 Feb 2016
Learning Continuous Control Policies by Stochastic Value Gradients N. Heess Greg Wayne David Silver Timothy Lillicrap Yuval Tassa Tom Erez 75 560 0 30 Oct 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 35 839 0 24 Jun 2015
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 59 12,163 0 19 Dec 2013