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1704.03073
Cited By
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
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Papers citing
"Data-efficient Deep Reinforcement Learning for Dexterous Manipulation"
50 / 136 papers shown
Discovering Generalizable Skills via Automated Generation of Diverse Tasks
Kuan Fang
Yuke Zhu
Silvio Savarese
Li Fei-Fei
180
8
0
26 Jun 2021
What Matters for Adversarial Imitation Learning?
Neural Information Processing Systems (NeurIPS), 2021
Manu Orsini
Anton Raichuk
Léonard Hussenot
Damien Vincent
Robert Dadashi
Sertan Girgin
Matthieu Geist
Olivier Bachem
Olivier Pietquin
Marcin Andrychowicz
229
87
0
01 Jun 2021
Hyperparameter Selection for Imitation Learning
International Conference on Machine Learning (ICML), 2021
Léonard Hussenot
Marcin Andrychowicz
Damien Vincent
Robert Dadashi
Anton Raichuk
...
Sabela Ramos
Manu Orsini
Olivier Bachem
Matthieu Geist
Olivier Pietquin
237
19
0
25 May 2021
Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation
IEEE Robotics and Automation Letters (RA-L), 2021
Niklas Funk
Charles B. Schaff
Rishabh Madan
Takuma Yoneda
Julen Urain De Jesus
...
Stefan Bauer
S. Srinivasa
Tapomayukh Bhattacharjee
Matthew R. Walter
Jan Peters
248
39
0
05 May 2021
Curiosity-Driven Exploration via Latent Bayesian Surprise
AAAI Conference on Artificial Intelligence (AAAI), 2021
Pietro Mazzaglia
Ozan Çatal
Tim Verbelen
Bart Dhoedt
216
41
0
15 Apr 2021
Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning
AAAI Conference on Artificial Intelligence (AAAI), 2021
Jinxin Liu
Xuetao Zhang
Qiangxing Tian
Ruihao Zhang
262
25
0
11 Apr 2021
Decoupled Exploration and Exploitation Policies for Sample-Efficient Reinforcement Learning
William F. Whitney
Michael Bloesch
Jost Tobias Springenberg
A. Abdolmaleki
Dong Wang
Martin Riedmiller
OffRL
228
17
0
23 Jan 2021
Asymmetric self-play for automatic goal discovery in robotic manipulation
OpenAI OpenAI
Matthias Plappert
Raul Sampedro
Tao Xu
Ilge Akkaya
...
Hyeonwoo Noh
Lilian Weng
Qiming Yuan
Casey Chu
Wojciech Zaremba
SSL
278
91
0
13 Jan 2021
Disentangled Planning and Control in Vision Based Robotics via Reward Machines
Alberto Camacho
Jacob Varley
Deepali Jain
Atil Iscen
Dmitry Kalashnikov
92
7
0
28 Dec 2020
Imitation Learning for High Precision Peg-in-Hole Tasks
S. Gubbi
Shishir Kolathaya
B. Amrutur
125
22
0
26 Dec 2020
Adaptable Automation with Modular Deep Reinforcement Learning and Policy Transfer
Engineering applications of artificial intelligence (EAAI), 2020
Zohreh Raziei
Mohsen Moghaddam
140
28
0
27 Nov 2020
C-Learning: Learning to Achieve Goals via Recursive Classification
International Conference on Learning Representations (ICLR), 2020
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
OffRL
287
87
0
17 Nov 2020
ACDER: Augmented Curiosity-Driven Experience Replay
IEEE International Conference on Robotics and Automation (ICRA), 2020
Boyao Li
Tao Lu
Jiayi Li
N. Lu
Yinghao Cai
Shuo Wang
138
21
0
16 Nov 2020
Efficient Robotic Object Search via HIEM: Hierarchical Policy Learning with Intrinsic-Extrinsic Modeling
IEEE Robotics and Automation Letters (RA-L), 2020
Xin Ye
Yezhou Yang
284
23
0
16 Oct 2020
Local Search for Policy Iteration in Continuous Control
Jost Tobias Springenberg
N. Heess
D. Mankowitz
J. Merel
Arunkumar Byravan
...
Julian Schrittwieser
Yuval Tassa
J. Buchli
Dan Belov
Martin Riedmiller
OffRL
138
15
0
12 Oct 2020
Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban
Peter Karkus
M. Berk Mirza
A. Guez
Andrew Jaegle
Timothy Lillicrap
Lars Buesing
N. Heess
T. Weber
OffRL
193
8
0
03 Oct 2020
Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds
Conference on Robot Learning (CoRL), 2020
Lirui Wang
Yu Xiang
Wei Yang
Arsalan Mousavian
Dieter Fox
3DPC
473
57
0
02 Oct 2020
Physically Embedded Planning Problems: New Challenges for Reinforcement Learning
M. Berk Mirza
Andrew Jaegle
Jonathan J. Hunt
A. Guez
S. Tunyasuvunakool
...
Peter Karkus
S. Racanière
Lars Buesing
Timothy Lillicrap
N. Heess
AI4CE
143
13
0
11 Sep 2020
ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning
Micro (MICRO), 2020
Sheng-Chun Kao
Geonhwa Jeong
T. Krishna
275
107
0
04 Sep 2020
Curriculum Learning with Hindsight Experience Replay for Sequential Object Manipulation Tasks
Binyamin Manela
Armin Biess
111
30
0
21 Aug 2020
TriFinger: An Open-Source Robot for Learning Dexterity
Conference on Robot Learning (CoRL), 2020
Manuel Wüthrich
Felix Widmaier
F. Grimminger
J. Akpo
S. Joshi
...
Julian Viereck
M. Naveau
Ludovic Righetti
Bernhard Schölkopf
Stefan Bauer
182
77
0
08 Aug 2020
Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a Braille Keyboard
IEEE Robotics and Automation Letters (RA-L), 2020
Alex Church
John Lloyd
R. Hadsell
Nathan Lepora
134
33
0
06 Aug 2020
Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals
Ozsel Kilinc
Giovanni Montana
124
5
0
05 Aug 2020
robo-gym -- An Open Source Toolkit for Distributed Deep Reinforcement Learning on Real and Simulated Robots
M. Lucchi
Friedemann Zindler
Stephan Mühlbacher-Karrer
Horst Pichler
OffRL
237
31
0
06 Jul 2020
Regularly Updated Deterministic Policy Gradient Algorithm
Shuai Han
Wenbo Zhou
Shuai Lu
Jiayu Yu
88
26
0
01 Jul 2020
How to Close Sim-Real Gap? Transfer with Segmentation!
Mengyuan Yan
Qingyun Sun
I. Frosio
Stephen Tyree
Jan Kautz
142
10
0
14 May 2020
Robotic Arm Control and Task Training through Deep Reinforcement Learning
Annual Meeting of the IEEE Industry Applications Society (IEEE IAS Annual Meeting), 2020
Andrea Franceschetti
E. Tosello
Nicola Castaman
Stefano Ghidoni
128
40
0
06 May 2020
Learning visual policies for building 3D shape categories
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Alexander Pashevich
Igor Kalevatykh
Ivan Laptev
Cordelia Schmid
158
3
0
15 Apr 2020
How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents
Richard Meyes
Moritz Schneider
Tobias Meisen
114
2
0
07 Apr 2020
Acceleration of Actor-Critic Deep Reinforcement Learning for Visual Grasping in Clutter by State Representation Learning Based on Disentanglement of a Raw Input Image
Tae Won Kim
Yeseong Park
Youngbin Park
I. Suh
DRL
OffRL
90
11
0
27 Feb 2020
Whole-Body Control of a Mobile Manipulator using End-to-End Reinforcement Learning
Julien Kindle
Fadri Furrer
Tonci Novkovic
Jen Jen Chung
Roland Siegwart
Juan I. Nieto
OffRL
227
32
0
25 Feb 2020
Learning Precise 3D Manipulation from Multiple Uncalibrated Cameras
IEEE International Conference on Robotics and Automation (ICRA), 2020
Iretiayo Akinola
Jacob Varley
Dmitry Kalashnikov
SSL
201
32
0
21 Feb 2020
Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning
IEEE International Conference on Robotics and Automation (ICRA), 2019
R. Li
Allan Jabri
Trevor Darrell
Pulkit Agrawal
OffRL
136
118
0
23 Dec 2019
On Policy Learning Robust to Irreversible Events: An Application to Robotic In-Hand Manipulation
IEEE Robotics and Automation Letters (RA-L), 2018
Pietro Falco
Abdallah Attawia
Matteo Saveriano
Dongheui Lee
198
31
0
20 Nov 2019
Form2Fit: Learning Shape Priors for Generalizable Assembly from Disassembly
IEEE International Conference on Robotics and Automation (ICRA), 2019
Kevin Zakka
Andy Zeng
Johnny Lee
Shuran Song
3DPC
256
117
0
30 Oct 2019
Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control
IEEE International Conference on Robotics and Automation (ICRA), 2019
Lukás Hermann
Max Argus
Andreas Eitel
Artemij Amiranashvili
Wolfram Burgard
Thomas Brox
182
26
0
17 Oct 2019
Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations
Machine-mediated learning (ML), 2019
Ozsel Kilinc
Giovanni Montana
302
46
0
16 Oct 2019
A Comparison of Action Spaces for Learning Manipulation Tasks
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2019
Patrick Varin
Lev Grossman
S. Kuindersma
166
37
0
23 Aug 2019
Sample-efficient Deep Reinforcement Learning with Imaginary Rollouts for Human-Robot Interaction
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2019
M. Thabet
Massimiliano Patacchiola
Angelo Cangelosi
OffRL
90
12
0
15 Aug 2019
Learning to combine primitive skills: A step towards versatile robotic manipulation
Robin Strudel
Alexander Pashevich
Igor Kalevatykh
Ivan Laptev
Josef Sivic
Cordelia Schmid
214
4
0
02 Aug 2019
Hindsight Trust Region Policy Optimization
International Joint Conference on Artificial Intelligence (IJCAI), 2019
Hanbo Zhang
Site Bai
Xuguang Lan
David Hsu
Nanning Zheng
284
10
0
29 Jul 2019
Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion Planners
IEEE Transactions on robotics (TRO), 2019
A. H. Qureshi
Yinglong Miao
Anthony Simeonov
Michael C. Yip
PINN
3DV
424
275
0
13 Jul 2019
Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2019
Gerrit Schoettler
Ashvin Nair
Jianlan Luo
Shikhar Bahl
J. A. Ojea
Eugen Solowjow
Sergey Levine
OffRL
159
209
0
13 Jun 2019
Curiosity-Driven Multi-Criteria Hindsight Experience Replay
John Lanier
Alexander Shmakov
Pierre Baldi
OffRL
174
26
0
09 Jun 2019
Generative Exploration and Exploitation
Jiechuan Jiang
Zongqing Lu
116
6
0
21 Apr 2019
Bayesian policy selection using active inference
Ozan Çatal
J. Nauta
Tim Verbelen
Pieter Simoens
Bart Dhoedt
BDL
282
33
0
17 Apr 2019
Emergent Coordination Through Competition
Siqi Liu
Guy Lever
J. Merel
S. Tunyasuvunakool
N. Heess
T. Graepel
284
157
0
19 Feb 2019
Value constrained model-free continuous control
Steven Bohez
A. Abdolmaleki
Michael Neunert
J. Buchli
N. Heess
R. Hadsell
128
65
0
12 Feb 2019
ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning
Harris Chan
Yuhuai Wu
J. Kiros
Sanja Fidler
Jimmy Ba
193
34
0
12 Feb 2019
Competitive Experience Replay
International Conference on Learning Representations (ICLR), 2019
Hao Liu
Alexander R. Trott
R. Socher
Caiming Xiong
OffRL
303
58
0
01 Feb 2019
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