Entropy Regularised Deterministic Optimal Control: From Path Integral Solution to Sample-Based Trajectory Optimisation

6 October 2021

Papers citing "Entropy Regularised Deterministic Optimal Control: From Path Integral Solution to Sample-Based Trajectory Optimisation"

11 / 11 papers shown

Title
STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation M. Bhardwaj Balakumar Sundaralingam Arsalan Mousavian Nathan D. Ratliff Dieter Fox Fabio Ramos Byron Boots 77 113 0 28 Apr 2021
BADGR: An Autonomous Self-Supervised Learning-Based Navigation System G. Kahn Pieter Abbeel Sergey Levine SSL 73 267 0 13 Feb 2020
Stochastic Optimal Control as Approximate Input Inference Joe Watson Hany Abdulsamad Jan Peters 41 38 0 07 Oct 2019
Deep Dynamics Models for Learning Dexterous Manipulation Anusha Nagabandi K. Konolige Sergey Levine Vikash Kumar 222 417 0 25 Sep 2019
A Modern Retrospective on Probabilistic Numerics Chris J. Oates T. Sullivan AI4CE 86 64 0 14 Jan 2019
Minima distribution for global optimization Xiaopeng Luo 45 8 0 09 Dec 2018
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review Sergey Levine AI4CE BDL 99 674 0 02 May 2018
Approximate Inference-based Motion Planning by Learning and Exploiting Low-Dimensional Latent Variable Models Jung-Su Ha Hyeok-Joo Chae Han-Lim Choi 59 14 0 22 Nov 2017
Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving Grady Williams P. Drews Brian Goldfain James M. Rehg Evangelos A. Theodorou 171 270 0 07 Jul 2017
A Topology-Guided Path Integral Approach for Stochastic Optimal Control Jung-Su Ha Han-Lim Choi 45 11 0 19 Oct 2015
Path Integral Policy Improvement with Covariance Matrix Adaptation F. Stulp Olivier Sigaud 103 209 0 18 Jun 2012