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The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints

The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints

27 October 2018
Andrew Hundt
Varun Jain
Chia-Hung Lin
Chris Paxton
Gregory Hager
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Papers citing "The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints"

6 / 6 papers shown
Title
Spot-Compose: A Framework for Open-Vocabulary Object Retrieval and
  Drawer Manipulation in Point Clouds
Spot-Compose: A Framework for Open-Vocabulary Object Retrieval and Drawer Manipulation in Point Clouds
Oliver Lemke
Z. Bauer
René Zurbrugg
Marc Pollefeys
Francis Engelmann
Hermann Blum
3DPC
31
11
0
18 Apr 2024
Visual Affordance Prediction for Guiding Robot Exploration
Visual Affordance Prediction for Guiding Robot Exploration
Homanga Bharadhwaj
Abhi Gupta
Shubham Tulsiani
44
12
0
28 May 2023
Bag of Baselines for Multi-objective Joint Neural Architecture Search
  and Hyperparameter Optimization
Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization
Julia Guerrero-Viu
Sven Hauns
Sergio Izquierdo
Guilherme Miotto
Simon Schrodi
André Biedenkapp
T. Elsken
Difan Deng
Marius Lindauer
Frank Hutter
AI4CE
19
26
0
03 May 2021
sharpDARTS: Faster and More Accurate Differentiable Architecture Search
sharpDARTS: Faster and More Accurate Differentiable Architecture Search
Andrew Hundt
Varun Jain
Gregory Hager
OOD
30
66
0
23 Mar 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
547
11,727
0
09 Mar 2017
Modular Deep Q Networks for Sim-to-real Transfer of Visuo-motor Policies
Modular Deep Q Networks for Sim-to-real Transfer of Visuo-motor Policies
Fangyi Zhang
Jurgen Leitner
Michael Milford
Peter Corke
34
39
0
21 Oct 2016
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