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Stein Variational Model Predictive Control

Stein Variational Model Predictive Control

15 November 2020
Alexander Lambert
Adam Fishman
Dieter Fox
Byron Boots
F. Ramos
ArXivPDFHTML

Papers citing "Stein Variational Model Predictive Control"

16 / 16 papers shown
Title
Stochastic Optimal Control as Approximate Input Inference
Stochastic Optimal Control as Approximate Input Inference
Joe Watson
Hany Abdulsamad
Jan Peters
9
38
0
07 Oct 2019
A Robust Closed-Loop Biped Locomotion Planner Based on Time Varying
  Model Predictive Control
A Robust Closed-Loop Biped Locomotion Planner Based on Time Varying Model Predictive Control
Mohammadreza Kasaei
Nuno Lau
Artur Pereira
15
2
0
15 Sep 2019
Non-Smooth Newton Methods for Deformable Multi-Body Dynamics
Non-Smooth Newton Methods for Deformable Multi-Body Dynamics
Miles Macklin
Kenny Erleben
Matthias Müller
N. Chentanez
S. Jeschke
Viktor Makoviychuk
18
103
0
10 Jul 2019
Variational Inference MPC for Bayesian Model-based Reinforcement
  Learning
Variational Inference MPC for Bayesian Model-based Reinforcement Learning
Masashi Okada
T. Taniguchi
45
74
0
08 Jul 2019
Stein Point Markov Chain Monte Carlo
Stein Point Markov Chain Monte Carlo
W. Chen
Alessandro Barp
François‐Xavier Briol
Jackson Gorham
Mark Girolami
Lester W. Mackey
Chris J. Oates
61
57
0
09 May 2019
An Online Learning Approach to Model Predictive Control
An Online Learning Approach to Model Predictive Control
Nolan Wagener
Ching-An Cheng
Jacob Sacks
Byron Boots
55
73
0
24 Feb 2019
Reinforcement Learning and Control as Probabilistic Inference: Tutorial
  and Review
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review
Sergey Levine
AI4CE
BDL
46
667
0
02 May 2018
Message Passing Stein Variational Gradient Descent
Message Passing Stein Variational Gradient Descent
Jingwei Zhuo
Chang-rui Liu
Jiaxin Shi
Jun Zhu
Ning Chen
Bo Zhang
45
91
0
13 Nov 2017
Continuous-Time Gaussian Process Motion Planning via Probabilistic
  Inference
Continuous-Time Gaussian Process Motion Planning via Probabilistic Inference
Mustafa Mukadam
Jing Dong
Xinyan Yan
F. Dellaert
Byron Boots
GP
38
214
0
24 Jul 2017
Information Theoretic Model Predictive Control: Theory and Applications
  to Autonomous Driving
Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving
Grady Williams
P. Drews
Brian Goldfain
James M. Rehg
Evangelos A. Theodorou
145
264
0
07 Jul 2017
Stein Variational Policy Gradient
Stein Variational Policy Gradient
Yang Liu
Prajit Ramachandran
Qiang Liu
Jian-wei Peng
48
138
0
07 Apr 2017
Reinforcement Learning with Deep Energy-Based Policies
Reinforcement Learning with Deep Energy-Based Policies
Tuomas Haarnoja
Haoran Tang
Pieter Abbeel
Sergey Levine
55
1,329
0
27 Feb 2017
Stein Variational Gradient Descent: A General Purpose Bayesian Inference
  Algorithm
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm
Qiang Liu
Dilin Wang
BDL
54
1,082
0
16 Aug 2016
OpenAI Gym
OpenAI Gym
Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
OffRL
ODL
164
5,048
0
05 Jun 2016
Stochastic Optimal Control in Continuous Space-Time Multi-Agent Systems
Stochastic Optimal Control in Continuous Space-Time Multi-Agent Systems
W. Wiegerinck
B. V. D. Broek
H. Kappen
44
29
0
27 Jun 2012
Approximate Inference and Stochastic Optimal Control
Approximate Inference and Stochastic Optimal Control
K. Rawlik
Marc Toussaint
S. Vijayakumar
59
21
0
20 Sep 2010
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