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2011.07641
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Stein Variational Model Predictive Control
Conference on Robot Learning (CoRL), 2020
15 November 2020
Alexander Lambert
Adam Fishman
Dieter Fox
Byron Boots
F. Ramos
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Papers citing
"Stein Variational Model Predictive Control"
44 / 44 papers shown
Model Predictive Control via Probabilistic Inference: A Tutorial and Survey
Kohei Honda
146
2
0
11 Nov 2025
Stein-based Optimization of Sampling Distributions in Model Predictive Path Integral Control
Jace Aldrich
Odest Chadwicke Jenkins
138
0
0
03 Nov 2025
Distribution Estimation for Global Data Association via Approximate Bayesian Inference
Yixuan Jia
Mason B. Peterson
Qingyuan Li
Yulun Tian
Jonathan P. How
95
0
0
19 Sep 2025
Q-Guided Stein Variational Model Predictive Control via RL-informed Policy Prior
Shizhe Cai
Zeya Yin
Jayadeep Jacob
Fabio Ramos
BDL
217
0
0
09 Jul 2025
Planning under Uncertainty to Goal Distributions
Adam Conkey
Tucker Hermans
419
3
0
01 Jul 2025
Constrained Stein Variational Gradient Descent for Robot Perception, Planning, and Identification
Griffin Tabor
Tucker Hermans
184
2
0
31 May 2025
Constrained Gaussian Process Motion Planning via Stein Variational Newton Inference
Jiayun Li
Kay Pompetzki
An T. Le
Haolei Tong
Jan Peters
Georgia Chalvatzaki
290
2
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
356
3
0
13 Mar 2025
LP-MPPI: Low-Pass Filtering for Efficient Model Predictive Path Integral Control
Piotr Kicki
579
3
0
13 Mar 2025
Efficient Gradient-Based Inference for Manipulation Planning in Contact Factor Graphs
IEEE International Conference on Robotics and Automation (ICRA), 2025
Jeongmin Lee
Sunkyung Park
Minji Lee
Dongjun Lee
336
0
0
08 Mar 2025
Risk-sensitive control as inference with Rényi divergence
Neural Information Processing Systems (NeurIPS), 2024
Kaito Ito
Kenji Kashima
271
3
0
04 Nov 2024
Stein Variational Evolution Strategies
Conference on Uncertainty in Artificial Intelligence (UAI), 2024
Cornelius V. Braun
Robert T. Lange
Marc Toussaint
513
5
0
14 Oct 2024
Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent
International Conference on Learning Representations (ICLR), 2024
Sayan Banerjee
Krishnakumar Balasubramanian
Promit Ghosal
358
9
0
13 Sep 2024
MPPI-Generic: A CUDA Library for Stochastic Trajectory Optimization
Bogdan I. Vlahov
Jason Gibson
Manan S. Gandhi
Evangelos A. Theodorou
379
5
0
11 Sep 2024
Safe and Efficient Path Planning under Uncertainty via Deep Collision Probability Fields
IEEE Robotics and Automation Letters (RA-L), 2024
Felix Herrmann
Sebastian Zach
Jacopo Banfi
Jan Peters
Georgia Chalvatzaki
Davide Tateo
235
4
0
06 Sep 2024
Wasserstein Gradient Boosting: A General Framework with Applications to Posterior Regression
Neural Information Processing Systems (NeurIPS), 2024
Takuo Matsubara
202
0
0
15 May 2024
Low Frequency Sampling in Model Predictive Path Integral Control
IEEE Robotics and Automation Letters (RA-L), 2024
Bogdan I. Vlahov
Jason Gibson
David D. Fan
Patrick Spieler
Ali-akbar Agha-mohammadi
Evangelos A. Theodorou
232
15
0
03 Apr 2024
Stein Variational Belief Propagation for Multi-Robot Coordination
IEEE Robotics and Automation Letters (RA-L), 2023
Jana Pavlasek
J. Mah
Ruihan Xu
Odest Chadwicke Jenkins
Fabio Ramos
367
9
0
28 Nov 2023
Deep Model Predictive Optimization
IEEE International Conference on Robotics and Automation (ICRA), 2023
Jacob Sacks
Rwik Rana
Kevin Huang
Alex Spitzer
Guanya Shi
Byron Boots
318
16
0
06 Oct 2023
STAMP: Differentiable Task and Motion Planning via Stein Variational Gradient Descent
IEEE Robotics and Automation Letters (RA-L), 2023
Yewon Lee
Philip Huang
Krishna Murthy Jatavallabhula
Andrew Z. Li
Fabian Damken
Eric Heiden
Kevin Smith
Derek Nowrouzezahrai
Fabio Ramos
Florian Shkurti University of Toronto
416
8
0
03 Oct 2023
Accelerating Motion Planning via Optimal Transport
Neural Information Processing Systems (NeurIPS), 2023
An T. Le
Georgia Chalvatzaki
Armin Biess
Jan Peters
OT
255
24
0
27 Sep 2023
Recent Advances in Path Integral Control for Trajectory Optimization: An Overview in Theoretical and Algorithmic Perspectives
Annual Reviews in Control (ARC), 2023
Muhammad Kazim
JunGee Hong
Min-Gyeom Kim
Kwang-Ki K. Kim
332
36
0
22 Sep 2023
Stein Variational Guided Model Predictive Path Integral Control: Proposal and Experiments with Fast Maneuvering Vehicles
IEEE International Conference on Robotics and Automation (ICRA), 2023
Kohei Honda
Naoki Akai
Kosuke Suzuki
Mizuho Aoki
H. Hosogaya
H. Okuda
Tatsuya Suzuki
334
23
0
20 Sep 2023
Constrained Stein Variational Trajectory Optimization
IEEE Transactions on robotics (TRO), 2023
Thomas Power
Dmitry Berenson
408
24
0
23 Aug 2023
Path Signatures for Diversity in Probabilistic Trajectory Optimisation
Lucas Barcelos
Tin Lai
Rafael Oliveira
Paulo Borges
Fabio Ramos
374
12
0
08 Aug 2023
DiSProD: Differentiable Symbolic Propagation of Distributions for Planning
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Palash Chatterjee
Ashutosh Chapagain
Weizhe (Wesley) Chen
Roni Khardon
397
3
0
03 Feb 2023
Learning Sampling Distributions for Model Predictive Control
Conference on Robot Learning (CoRL), 2022
Jacob Sacks
Byron Boots
247
31
0
05 Dec 2022
Decision-Making Among Bounded Rational Agents
International Symposium on Distributed Autonomous Robotic Systems (DARS), 2022
Junhong Xu
Durgakant Pushp
Kai-Li Yin
Lantao Liu
224
4
0
17 Oct 2022
Hierarchical Policy Blending as Inference for Reactive Robot Control
IEEE International Conference on Robotics and Automation (ICRA), 2022
Kay Hansel
Julen Urain
Jan Peters
Georgia Chalvatzaki
383
19
0
14 Oct 2022
Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes
Conference on Robot Learning (CoRL), 2022
Joe Watson
Jan Peters
289
22
0
07 Oct 2022
Learning Agent-Aware Affordances for Closed-Loop Interaction with Articulated Objects
IEEE International Conference on Robotics and Automation (ICRA), 2022
Giulio Schiavi
Paula Wulkop
Giuseppe Rizzi
Lionel Ott
Roland Siegwart
Jen Jen Chung
256
25
0
13 Sep 2022
MPPI-IPDDP: Hybrid Method of Collision-Free Smooth Trajectory Generation for Autonomous Robots
Mingeuk Kim
Kwang-Ki K. Kim
214
3
0
04 Aug 2022
Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection
Thomas Power
Dmitry Berenson
258
42
0
10 May 2022
Learning Implicit Priors for Motion Optimization
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Julen Urain
An T. Le
Alexander Lambert
Georgia Chalvatzaki
Byron Boots
Jan Peters
278
37
0
11 Apr 2022
Model Predictive Optimized Path Integral Strategies
IEEE International Conference on Robotics and Automation (ICRA), 2022
Dylan M. Asmar
Ransalu Senanayake
Shawn Manuel
Mykel J. Kochenderfer
338
23
0
30 Mar 2022
Optimisation of Structured Neural Controller Based on Continuous-Time Policy Gradient
Namhoon Cho
Hyo-Sang Shin
251
2
0
17 Jan 2022
Stein Variational Probabilistic Roadmaps
IEEE International Conference on Robotics and Automation (ICRA), 2021
Alexander Lambert
Brian Hou
Rosario Scalise
S. Srinivasa
Byron Boots
187
10
0
04 Nov 2021
GPU Accelerated Batch Multi-Convex Trajectory Optimization for a Rectangular Holonomic Mobile Robot
Fatemeh Rastgar
Houman Masnavi
Karl Kruusamäe
A. Aabloo
A. K. Singh
160
1
0
27 Sep 2021
Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation
Eric Heiden
Chris Denniston
David Millard
Fabio Ramos
Gaurav Sukhatme
275
27
0
18 Sep 2021
Robust Control Under Uncertainty via Bounded Rationality and Differential Privacy
Vincent Pacelli
Anirudha Majumdar
233
10
0
17 Sep 2021
Entropy Regularized Motion Planning via Stein Variational Inference
Alexander Lambert
Byron Boots
359
15
0
11 Jul 2021
Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning
Julen Urain
Anqi Li
Puze Liu
Carlo DÉramo
Jan Peters
240
31
0
11 May 2021
Variational Inference MPC using Tsallis Divergence
Ziyi Wang
Oswin So
Jason Gibson
Bogdan I. Vlahov
Manan S. Gandhi
Guan-Horng Liu
Evangelos A. Theodorou
252
42
0
01 Apr 2021
Dual Online Stein Variational Inference for Control and Dynamics
Lucas Barcelos
Alexander Lambert
Rafael Oliveira
Paulo Borges
Byron Boots
F. Ramos
218
36
0
23 Mar 2021
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