Model-Based Generalization Under Parameter Uncertainty Using Path Integral Control

4 June 2020

Papers citing "Model-Based Generalization Under Parameter Uncertainty Using Path Integral Control"

6 / 6 papers shown

Title
Incremental Few-Shot Adaptation for Non-Prehensile Object Manipulation using Parallelizable Physics Simulators Fabian Baumeister Lukas Mack Joerg Stueckler 42 2 0 20 Sep 2024
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 44 16 0 22 Sep 2023
Sampling Complexity of Path Integral Methods for Trajectory Optimization Hyung-Jin Yoon Chuyuan Tao Hunmin Kim N. Hovakimyan P. Voulgaris 6 11 0 18 Mar 2022
Dropout Q-Functions for Doubly Efficient Reinforcement Learning Takuya Hiraoka Takahisa Imagawa Taisei Hashimoto Takashi Onishi Yoshimasa Tsuruoka 13 105 0 05 Oct 2021
Particle MPC for Uncertain and Learning-Based Control Robert Dyro James Harrison Apoorva Sharma Marco Pavone 27 16 0 06 Apr 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