Stein Variational Model Predictive Control

Stein Variational Model Predictive Control

15 November 2020

Alexander Lambert

Papers citing "Stein Variational Model Predictive Control"

16 / 16 papers shown

Title
Constrained Gaussian Process Motion Planning via Stein Variational Newton Inference Jiayun Li Kay Pompetzki An T. Le Haolei Tong Jan Peters Georgia Chalvatzaki 33 0 0 07 Apr 2025
An Unsupervised C-Uniform Trajectory Sampler with Applications to Model Predictive Path Integral Control O. G. Poyrazoglu Rahul Moorthy Yukang Cao William Chastek Volkan Isler 52 0 0 13 Mar 2025
Stein Variational Belief Propagation for Multi-Robot Coordination Jana Pavlasek J. Mah Ruihan Xu Odest Chadwicke Jenkins Fabio Ramos 13 2 0 28 Nov 2023
Recent Advances in Path Integral Control for Trajectory Optimization: An Overview in Theoretical and Algorithmic Perspectives Muhammad Kazim JunGee Hong Min-Gyeom Kim Kwang-Ki K. Kim 37 16 0 22 Sep 2023
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
MPPI-IPDDP: Hybrid Method of Collision-Free Smooth Trajectory Generation for Autonomous Robots Mingeuk Kim Kwang-Ki K. Kim 29 3 0 04 Aug 2022
Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection Thomas Power Dmitry Berenson 22 29 0 10 May 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
Stein Variational Probabilistic Roadmaps Alexander Lambert Brian Hou Rosario Scalise S. Srinivasa Byron Boots 11 8 0 04 Nov 2021
Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation Eric Heiden Chris Denniston David Millard Fabio Ramos Gaurav Sukhatme 27 21 0 18 Sep 2021
Robust Control Under Uncertainty via Bounded Rationality and Differential Privacy Vincent Pacelli Anirudha Majumdar 24 9 0 17 Sep 2021
Entropy Regularized Motion Planning via Stein Variational Inference Alexander Lambert Byron Boots 43 12 0 11 Jul 2021
Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning Julen Urain Anqi Li Puze Liu Carlo DÉramo Jan Peters 33 25 0 11 May 2021
Dual Online Stein Variational Inference for Control and Dynamics Lucas Barcelos Alexander Lambert Rafael Oliveira Paulo Borges Byron Boots F. Ramos 17 27 0 23 Mar 2021
Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving Grady Williams P. Drews Brian Goldfain James M. Rehg Evangelos A. Theodorou 76 263 0 07 Jul 2017