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Learning to Centralize Dual-Arm Assembly

Learning to Centralize Dual-Arm Assembly

8 October 2021
Marvin Alles
Elie Aljalbout
ArXivPDFHTML

Papers citing "Learning to Centralize Dual-Arm Assembly"

23 / 23 papers shown
Title
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've
  Learned
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned
Julian Ibarz
Jie Tan
Chelsea Finn
Mrinal Kalakrishnan
P. Pastor
Sergey Levine
OffRL
109
524
0
04 Feb 2021
Variable Compliance Control for Robotic Peg-in-Hole Assembly: A Deep
  Reinforcement Learning Approach
Variable Compliance Control for Robotic Peg-in-Hole Assembly: A Deep Reinforcement Learning Approach
C. C. Beltran-Hernandez
Damien Petit
I. Ramirez-Alpizar
Kensuke Harada
OffRL
38
161
0
24 Aug 2020
The Ingredients of Real-World Robotic Reinforcement Learning
The Ingredients of Real-World Robotic Reinforcement Learning
Henry Zhu
Justin Yu
Abhishek Gupta
Dhruv Shah
Kristian Hartikainen
Avi Singh
Vikash Kumar
Sergey Levine
OffRL
91
174
0
27 Apr 2020
An empirical investigation of the challenges of real-world reinforcement
  learning
An empirical investigation of the challenges of real-world reinforcement learning
Gabriel Dulac-Arnold
Nir Levine
D. Mankowitz
Jerry Li
Cosmin Paduraru
Sven Gowal
Todd Hester
OffRL
61
123
0
24 Mar 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
66
42,038
0
03 Dec 2019
A Comparison of Action Spaces for Learning Manipulation Tasks
A Comparison of Action Spaces for Learning Manipulation Tasks
Patrick Varin
Lev Grossman
S. Kuindersma
38
34
0
23 Aug 2019
Variable Impedance Control in End-Effector Space: An Action Space for
  Reinforcement Learning in Contact-Rich Tasks
Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks
Roberto Martín-Martín
Michelle A. Lee
Rachel Gardner
Silvio Savarese
Jeannette Bohg
Animesh Garg
35
194
0
20 Jun 2019
Deep Reinforcement Learning for Industrial Insertion Tasks with Visual
  Inputs and Natural Rewards
Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards
Gerrit Schoettler
Ashvin Nair
Jianlan Luo
Shikhar Bahl
J. A. Ojea
Eugen Solowjow
Sergey Levine
OffRL
26
191
0
13 Jun 2019
Hierarchical Reinforcement Learning for Quadruped Locomotion
Hierarchical Reinforcement Learning for Quadruped Locomotion
Deepali Jain
Atil Iscen
Ken Caluwaerts
40
53
0
22 May 2019
Dot-to-Dot: Explainable Hierarchical Reinforcement Learning for Robotic
  Manipulation
Dot-to-Dot: Explainable Hierarchical Reinforcement Learning for Robotic Manipulation
Benjamin Beyret
A. Shafti
A. Faisal
87
73
0
14 Apr 2019
Active Domain Randomization
Active Domain Randomization
Bhairav Mehta
Manfred Diaz
Florian Golemo
C. Pal
Liam Paull
32
262
0
09 Apr 2019
Learning and Generalisation of Primitives Skills Towards Robust Dual-arm
  Manipulation
Learning and Generalisation of Primitives Skills Towards Robust Dual-arm Manipulation
Éric Pairet
Paola Ardón
F. Broz
M. Mistry
Y. Pétillot
11
12
0
02 Apr 2019
Improving dual-arm assembly by master-slave compliance
Improving dual-arm assembly by master-slave compliance
Markku Suomalainen
Sylvain Calinon
Emmanuel Pignat
Ville Kyrki
14
14
0
19 Feb 2019
Soft Actor-Critic Algorithms and Applications
Soft Actor-Critic Algorithms and Applications
Tuomas Haarnoja
Aurick Zhou
Kristian Hartikainen
George Tucker
Sehoon Ha
...
Vikash Kumar
Henry Zhu
Abhishek Gupta
Pieter Abbeel
Sergey Levine
88
2,391
0
13 Dec 2018
Deep Learning using Rectified Linear Units (ReLU)
Deep Learning using Rectified Linear Units (ReLU)
Abien Fred Agarap
47
3,195
0
22 Mar 2018
Addressing Function Approximation Error in Actor-Critic Methods
Addressing Function Approximation Error in Actor-Critic Methods
Scott Fujimoto
H. V. Hoof
David Meger
OffRL
120
5,121
0
26 Feb 2018
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization
Xue Bin Peng
Marcin Andrychowicz
Wojciech Zaremba
Pieter Abbeel
78
1,355
0
18 Oct 2017
Leveraging Demonstrations for Deep Reinforcement Learning on Robotics
  Problems with Sparse Rewards
Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards
Matej Vecerík
Todd Hester
Jonathan Scholz
Fumin Wang
Olivier Pietquin
Bilal Piot
N. Heess
Thomas Rothörl
Thomas Lampe
Martin Riedmiller
OffRL
47
661
0
27 Jul 2017
Hindsight Experience Replay
Hindsight Experience Replay
Marcin Andrychowicz
Dwight Crow
Alex Ray
Jonas Schneider
Rachel Fong
Peter Welinder
Bob McGrew
Joshua Tobin
Pieter Abbeel
Wojciech Zaremba
OffRL
205
2,307
0
05 Jul 2017
Domain Randomization for Transferring Deep Neural Networks from
  Simulation to the Real World
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
Joshua Tobin
Rachel Fong
Alex Ray
Jonas Schneider
Wojciech Zaremba
Pieter Abbeel
92
2,948
0
20 Mar 2017
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
109
13,174
0
09 Sep 2015
End-to-End Training of Deep Visuomotor Policies
End-to-End Training of Deep Visuomotor Policies
Sergey Levine
Chelsea Finn
Trevor Darrell
Pieter Abbeel
BDL
140
3,418
0
02 Apr 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
196
149,474
0
22 Dec 2014
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