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Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with
  Gaussian Processes

Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes

7 October 2022
Joe Watson
Jan Peters
ArXivPDFHTML

Papers citing "Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes"

14 / 14 papers shown
Title
Model Tensor Planning
Model Tensor Planning
An T. Le
K. Nguyen
Minh Nhat Vu
João Carvalho
Jan Peters
20
0
0
02 May 2025
Action Tokenizer Matters in In-Context Imitation Learning
An Vuong
M. Vu
Dong An
Ian Reid
53
0
0
03 Mar 2025
MPPI-Generic: A CUDA Library for Stochastic Trajectory Optimization
MPPI-Generic: A CUDA Library for Stochastic Trajectory Optimization
Bogdan I. Vlahov
Jason Gibson
Manan S. Gandhi
Evangelos A. Theodorou
16
5
0
11 Sep 2024
Low Frequency Sampling in Model Predictive Path Integral Control
Low Frequency Sampling in Model Predictive Path Integral Control
Bogdan I. Vlahov
Jason Gibson
David D. Fan
Patrick Spieler
Ali-akbar Agha-mohammadi
Evangelos A. Theodorou
25
2
0
03 Apr 2024
Risk-Sensitive Stochastic Optimal Control as Rao-Blackwellized Markovian
  Score Climbing
Risk-Sensitive Stochastic Optimal Control as Rao-Blackwellized Markovian Score Climbing
Hany Abdulsamad
Sahel Iqbal
Adrien Corenflos
Simo Särkkä
25
2
0
21 Dec 2023
Pseudo-Likelihood Inference
Pseudo-Likelihood Inference
Theo Gruner
Boris Belousov
Fabio Muratore
Daniel Palenicek
Jan Peters
11
0
0
28 Nov 2023
Constrained Stein Variational Trajectory Optimization
Constrained Stein Variational Trajectory Optimization
Thomas Power
Dmitry Berenson
17
12
0
23 Aug 2023
Motion Planning Diffusion: Learning and Planning of Robot Motions with
  Diffusion Models
Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models
João Carvalho
An T. Le
Mark Baierl
Dorothea Koert
Jan Peters
DiffM
11
98
0
03 Aug 2023
Coherent Soft Imitation Learning
Coherent Soft Imitation Learning
Joe Watson
Sandy H. Huang
Nicholas Heess
19
10
0
25 May 2023
Learning Dynamics Models for Model Predictive Agents
Learning Dynamics Models for Model Predictive Agents
M. Lutter
Leonard Hasenclever
Arunkumar Byravan
Gabriel Dulac-Arnold
Piotr Trochim
N. Heess
J. Merel
Yuval Tassa
AI4CE
52
26
0
29 Sep 2021
A Probabilistic Interpretation of Self-Paced Learning with Applications
  to Reinforcement Learning
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning
Pascal Klink
Hany Abdulsamad
Boris Belousov
Carlo DÉramo
Jan Peters
J. Pajarinen
27
23
0
25 Feb 2021
Data-efficient Domain Randomization with Bayesian Optimization
Data-efficient Domain Randomization with Bayesian Optimization
Fabio Muratore
C. Eilers
Michael Gienger
Jan Peters
OOD
68
77
0
05 Mar 2020
Deep Dynamics Models for Learning Dexterous Manipulation
Deep Dynamics Models for Learning Dexterous Manipulation
Anusha Nagabandi
K. Konolige
Sergey Levine
Vikash Kumar
143
404
0
25 Sep 2019
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
74
198
0
07 Jul 2017
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