An Online Learning Approach to Model Predictive Control

An Online Learning Approach to Model Predictive Control

24 February 2019

Papers citing "An Online Learning Approach to Model Predictive Control"

19 / 19 papers shown

Title
Learning Sampling Distributions for Model Predictive Control Jacob Sacks Byron Boots 11 21 0 05 Dec 2022
Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes Joe Watson Jan Peters 26 15 0 07 Oct 2022
Sample-efficient Safe Learning for Online Nonlinear Control with Control Barrier Functions Wenhao Luo Wen Sun Ashish Kapoor OffRL 43 9 0 29 Jul 2022
Learning Implicit Priors for Motion Optimization Julen Urain An T. Le Alexander Lambert Georgia Chalvatzaki Byron Boots Jan Peters 28 24 0 11 Apr 2022
Bayesian Learning Approach to Model Predictive Control Namhoon Cho Seokwon Lee Hyo-Sang Shin Antonios Tsourdos 15 1 0 05 Mar 2022
Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing Johannes Betz Hongrui Zheng Alexander Liniger Ugo Rosolia Phillip Karle Madhur Behl V. Krovi Rahul Mangharam 35 212 0 14 Feb 2022
Exponential Family Model-Based Reinforcement Learning via Score Matching Gen Li Junbo Li Anmol Kabra Nathan Srebro Zhaoran Wang Zhuoran Yang 29 4 0 28 Dec 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 27 3 0 04 Nov 2021
Policy Search using Dynamic Mirror Descent MPC for Model Free Off Policy RL Aarush Gupta 25 0 0 23 Oct 2021
Dual Online Stein Variational Inference for Control and Dynamics Lucas Barcelos Alexander Lambert Rafael Oliveira Paulo Borges Byron Boots F. Ramos 30 27 0 23 Mar 2021
Continual Model-Based Reinforcement Learning with Hypernetworks Yizhou Huang Kevin Xie Homanga Bharadhwaj Florian Shkurti CLL 22 46 0 25 Sep 2020
Information Theoretic Regret Bounds for Online Nonlinear Control Sham Kakade A. Krishnamurthy Kendall Lowrey Motoya Ohnishi Wen Sun 31 117 0 22 Jun 2020
Optimizing for the Future in Non-Stationary MDPs Yash Chandak Georgios Theocharous Shiv Shankar Martha White Sridhar Mahadevan Philip S. Thomas OffRL 11 65 0 17 May 2020
Manipulation Trajectory Optimization with Online Grasp Synthesis and Selection Lirui Wang Yu Xiang D. Fox 8 38 0 22 Nov 2019
Bayesian Learning-Based Adaptive Control for Safety Critical Systems David D. Fan Jennifer Nguyen Rohan Thakker Nikhilesh Alatur Ali-akbar Agha-mohammadi Evangelos A. Theodorou BDL 26 83 0 05 Oct 2019
Variational Inference MPC for Bayesian Model-based Reinforcement Learning Masashi Okada T. Taniguchi 38 73 0 08 Jul 2019
Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving Grady Williams P. Drews Brian Goldfain James M. Rehg Evangelos A. Theodorou 78 263 0 07 Jul 2017
Theoretical foundation for CMA-ES from information geometric perspective Youhei Akimoto Y. Nagata I. Ono S. Kobayashi 52 69 0 04 Jun 2012
Statistical exponential families: A digest with flash cards Frank Nielsen Vincent Garcia 88 183 0 25 Nov 2009