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Keep it Simple: Data-efficient Learning for Controlling Complex Systems
  with Simple Models
v1v2v3 (latest)

Keep it Simple: Data-efficient Learning for Controlling Complex Systems with Simple Models

4 February 2021
Thomas Power
Dmitry Berenson
ArXiv (abs)PDFHTML

Papers citing "Keep it Simple: Data-efficient Learning for Controlling Complex Systems with Simple Models"

6 / 6 papers shown
Title
Task-Oriented Active Learning of Model Preconditions for Inaccurate
  Dynamics Models
Task-Oriented Active Learning of Model Preconditions for Inaccurate Dynamics Models
A. LaGrassa
Moonyoung Lee
Oliver Kroemer
73
5
0
08 Jan 2024
A Survey on Robotic Manipulation of Deformable Objects: Recent Advances,
  Open Challenges and New Frontiers
A Survey on Robotic Manipulation of Deformable Objects: Recent Advances, Open Challenges and New Frontiers
Feida Gu
Yanmin Zhou
Zhipeng Wang
Shuo Jiang
Bin He
AI4CE
73
8
0
16 Dec 2023
Learning Model Preconditions for Planning with Multiple Models
Learning Model Preconditions for Planning with Multiple Models
A. LaGrassa
Oliver Kroemer
78
8
0
11 Jun 2022
Variational Inference MPC using Normalizing Flows and
  Out-of-Distribution Projection
Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection
Thomas Power
Dmitry Berenson
86
32
0
10 May 2022
Contact-Rich Manipulation of a Flexible Object based on Deep Predictive
  Learning using Vision and Tactility
Contact-Rich Manipulation of a Flexible Object based on Deep Predictive Learning using Vision and Tactility
Hideyuki Ichiwara
Hiroshi Ito
Kenjiro Yamamoto
Hiroki Mori
Tetsuya Ogata
72
22
0
13 Dec 2021
Challenges and Outlook in Robotic Manipulation of Deformable Objects
Challenges and Outlook in Robotic Manipulation of Deformable Objects
Jihong Zhu
A. Cherubini
C. Dune
D. Navarro-Alarcon
Farshid Alambeigi
...
Jens Kober
Xiang-Yang Li
Jia Pan
Wenzhen Yuan
Michael Gienger
AI4CE
106
209
0
04 May 2021
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