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Data-efficient Deep Reinforcement Learning for Dexterous Manipulation

Data-efficient Deep Reinforcement Learning for Dexterous Manipulation

10 April 2017
I. Popov
N. Heess
Timothy Lillicrap
Agrim Gupta
Gabriel Barth-Maron
Matej Vecerík
Thomas Lampe
Yuval Tassa
Tom Erez
Martin Riedmiller
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Data-efficient Deep Reinforcement Learning for Dexterous Manipulation"

36 / 136 papers shown
Learning Sharing Behaviors with Arbitrary Numbers of Agents
Learning Sharing Behaviors with Arbitrary Numbers of Agents
Katherine Metcalf
B. Theobald
N. Apostoloff
104
2
0
10 Dec 2018
Residual Reinforcement Learning for Robot Control
Residual Reinforcement Learning for Robot Control
T. Johannink
Shikhar Bahl
Ashvin Nair
Jianlan Luo
Avinash Kumar
M. Loskyll
J. A. Ojea
Eugen Solowjow
Sergey Levine
OffRL
274
493
0
07 Dec 2018
Relative Entropy Regularized Policy Iteration
Relative Entropy Regularized Policy Iteration
A. Abdolmaleki
Jost Tobias Springenberg
Jonas Degrave
Steven Bohez
Yuval Tassa
Dan Belov
N. Heess
Martin Riedmiller
127
75
0
05 Dec 2018
Composing Entropic Policies using Divergence Correction
Composing Entropic Policies using Divergence Correction
Jonathan J. Hunt
André Barreto
Timothy Lillicrap
N. Heess
97
2
0
05 Dec 2018
Modulated Policy Hierarchies
Modulated Policy Hierarchies
Alexander Pashevich
Danijar Hafner
James Davidson
Rahul Sukthankar
Cordelia Schmid
88
6
0
30 Nov 2018
Exploring Restart Distributions
Exploring Restart Distributions
Arash Tavakoli
Vitaly Levdik
Riashat Islam
Christopher M. Smith
Petar Kormushev
OffRL
189
5
0
27 Nov 2018
Multiparty Dynamics and Failure Modes for Machine Learning and
  Artificial Intelligence
Multiparty Dynamics and Failure Modes for Machine Learning and Artificial Intelligence
David Manheim
175
29
0
16 Oct 2018
Deep Reinforcement Learning
Deep Reinforcement Learning
Yuxi Li
VLMOffRL
357
143
0
15 Oct 2018
One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL
One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL
T. Paine
Sergio Gomez Colmenarejo
Ziyun Wang
Scott E. Reed
Y. Aytar
...
Matthew W. Hoffman
Gabriel Barth-Maron
Serkan Cabi
David Budden
Nando de Freitas
OffRL
155
26
0
11 Oct 2018
A Practical Approach to Insertion with Variable Socket Position Using
  Deep Reinforcement Learning
A Practical Approach to Insertion with Variable Socket Position Using Deep Reinforcement Learning
Mel Vecerík
Oleg O. Sushkov
David Barker
Thomas Rothörl
Todd Hester
Jonathan Scholz
216
117
0
02 Oct 2018
Learning Pose Estimation for High-Precision Robotic Assembly Using
  Simulated Depth Images
Learning Pose Estimation for High-Precision Robotic Assembly Using Simulated Depth ImagesIEEE International Conference on Robotics and Automation (ICRA), 2018
Yuval Litvak
Armin Biess
Aharon Bar-Hillel
128
41
0
27 Sep 2018
Automata Guided Reinforcement Learning With Demonstrations
Automata Guided Reinforcement Learning With Demonstrations
Xiao Li
Yao Ma
C. Belta
OffRL
160
12
0
17 Sep 2018
Proximal Policy Optimization and its Dynamic Version for Sequence
  Generation
Proximal Policy Optimization and its Dynamic Version for Sequence Generation
Yi-Lin Tuan
Jinzhi Zhang
Yujia Li
Hung-yi Lee
127
11
0
24 Aug 2018
Region Growing Curriculum Generation for Reinforcement Learning
Region Growing Curriculum Generation for Reinforcement Learning
Artem Molchanov
Karol Hausman
Stan Birchfield
Gaurav Sukhatme
118
2
0
04 Jul 2018
Adversarial Learning of Task-Oriented Neural Dialog Models
Adversarial Learning of Task-Oriented Neural Dialog Models
Bing-Quan Liu
Ian Lane
OffRL
139
40
0
30 May 2018
Distributed Distributional Deterministic Policy Gradients
Distributed Distributional Deterministic Policy GradientsInternational Conference on Learning Representations (ICLR), 2018
Gabriel Barth-Maron
Matthew W. Hoffman
David Budden
Will Dabney
Dan Horgan
TB Dhruva
Alistair Muldal
N. Heess
Timothy Lillicrap
OffRL
259
518
0
23 Apr 2018
Learning Synergies between Pushing and Grasping with Self-supervised
  Deep Reinforcement Learning
Learning Synergies between Pushing and Grasping with Self-supervised Deep Reinforcement Learning
Andy Zeng
Shuran Song
Stefan Welker
Johnny Lee
Alberto Rodriguez
Thomas Funkhouser
SSL
402
617
0
27 Mar 2018
Comparing Task Simplifications to Learn Closed-Loop Object Picking Using
  Deep Reinforcement Learning
Comparing Task Simplifications to Learn Closed-Loop Object Picking Using Deep Reinforcement LearningIEEE Robotics and Automation Letters (RA-L), 2018
Michel Breyer
Fadri Furrer
Tonci Novkovic
Roland Siegwart
Juan I. Nieto
SSLOffRL
176
51
0
13 Mar 2018
Deep Reinforcement Learning for Vision-Based Robotic Grasping: A
  Simulated Comparative Evaluation of Off-Policy Methods
Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy MethodsIEEE International Conference on Robotics and Automation (ICRA), 2018
Deirdre Quillen
Eric Jang
Ofir Nachum
Chelsea Finn
Julian Ibarz
Sergey Levine
OODOffRL
242
215
0
28 Feb 2018
Reinforcement and Imitation Learning for Diverse Visuomotor Skills
Reinforcement and Imitation Learning for Diverse Visuomotor Skills
Yuke Zhu
Ziyun Wang
J. Merel
Andrei A. Rusu
Tom Erez
...
S. Tunyasuvunakool
János Kramár
R. Hadsell
Nando de Freitas
N. Heess
SSL
357
333
0
26 Feb 2018
Addressing Function Approximation Error in Actor-Critic Methods
Addressing Function Approximation Error in Actor-Critic MethodsInternational Conference on Machine Learning (ICML), 2018
Scott Fujimoto
H. V. Hoof
David Meger
OffRL
820
6,228
0
26 Feb 2018
Learning to Play with Intrinsically-Motivated Self-Aware Agents
Learning to Play with Intrinsically-Motivated Self-Aware Agents
Nick Haber
Damian Mrowca
Li Fei-Fei
Daniel L. K. Yamins
LRM
189
122
0
21 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
2.5K
10,060
0
04 Jan 2018
DeepMind Control Suite
DeepMind Control Suite
Yuval Tassa
Yotam Doron
Alistair Muldal
Tom Erez
Yazhe Li
...
A. Abdolmaleki
J. Merel
Andrew Lefrancq
Timothy Lillicrap
Martin Riedmiller
ELMLM&RoBDL
1.1K
1,281
0
02 Jan 2018
Sim-to-Real Transfer of Accurate Grasping with Eye-In-Hand Observations
  and Continuous Control
Sim-to-Real Transfer of Accurate Grasping with Eye-In-Hand Observations and Continuous Control
Mengyuan Yan
I. Frosio
Stephen Tyree
Jan Kautz
147
41
0
08 Dec 2017
Divide-and-Conquer Reinforcement Learning
Divide-and-Conquer Reinforcement Learning
Dibya Ghosh
Avi Singh
Aravind Rajeswaran
Vikash Kumar
Sergey Levine
OffRL
209
131
0
27 Nov 2017
Overcoming Exploration in Reinforcement Learning with Demonstrations
Overcoming Exploration in Reinforcement Learning with Demonstrations
Ashvin Nair
Bob McGrew
Marcin Andrychowicz
Wojciech Zaremba
Pieter Abbeel
OffRL
526
854
0
28 Sep 2017
Expanding Motor Skills through Relay Neural Networks
Expanding Motor Skills through Relay Neural Networks
Visak C. V. Kumar
Sehoon Ha
Chenxi Liu
53
2
0
22 Sep 2017
Deep Reinforcement Learning for Dexterous Manipulation with Concept
  Networks
Deep Reinforcement Learning for Dexterous Manipulation with Concept Networks
Aditya Gudimella
Ross Story
M. Shaker
Ruofan Kong
Matthew A. Brown
Victor Shnayder
Marcos Campos
91
24
0
20 Sep 2017
StarCraft II: A New Challenge for Reinforcement Learning
StarCraft II: A New Challenge for Reinforcement Learning
Oriol Vinyals
T. Ewalds
Sergey Bartunov
Petko Georgiev
A. Vezhnevets
...
Anthony Brunasso
David Lawrence
Anders Ekermo
J. Repp
Rodney Tsing
292
935
0
16 Aug 2017
Deep Reinforcement Learning for High Precision Assembly Tasks
Deep Reinforcement Learning for High Precision Assembly TasksIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2017
Tadanobu Inoue
Giovanni De Magistris
Asim Munawar
T. Yokoya
Ryuki Tachibana
271
287
0
14 Aug 2017
Reverse Curriculum Generation for Reinforcement Learning
Reverse Curriculum Generation for Reinforcement Learning
Carlos Florensa
David Held
Markus Wulfmeier
Michael Zhang
Pieter Abbeel
359
486
0
17 Jul 2017
Emergence of Locomotion Behaviours in Rich Environments
Emergence of Locomotion Behaviours in Rich Environments
N. Heess
TB Dhruva
S. Sriram
Jay Lemmon
J. Merel
...
Tom Erez
Ziyun Wang
S. M. Ali Eslami
Martin Riedmiller
David Silver
482
979
0
07 Jul 2017
Transferring End-to-End Visuomotor Control from Simulation to Real World
  for a Multi-Stage Task
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task
Stephen James
Andrew J. Davison
Edward Johns
432
282
0
07 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
691
2,555
0
05 Jul 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRLVLM
959
1,741
0
25 Jan 2017
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