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Learning Dexterous In-Hand Manipulation

Learning Dexterous In-Hand Manipulation

1 August 2018
OpenAI OpenAI
Marcin Andrychowicz
Bowen Baker
Maciek Chociej
Rafal Jozefowicz
Bob McGrew
J. Pachocki
Arthur Petron
Matthias Plappert
Glenn Powell
Alex Ray
Jonas Schneider
Szymon Sidor
Joshua Tobin
Peter Welinder
Lilian Weng
Wojciech Zaremba
ArXivPDFHTML

Papers citing "Learning Dexterous In-Hand Manipulation"

50 / 407 papers shown
Title
Modeling Long-horizon Tasks as Sequential Interaction Landscapes
Modeling Long-horizon Tasks as Sequential Interaction Landscapes
Soren Pirk
Karol Hausman
Alexander Toshev
Mohi Khansari
22
27
0
08 Jun 2020
Primal Wasserstein Imitation Learning
Primal Wasserstein Imitation Learning
Robert Dadashi
Léonard Hussenot
M. Geist
Olivier Pietquin
26
124
0
08 Jun 2020
TrueRMA: Learning Fast and Smooth Robot Trajectories with Recursive
  Midpoint Adaptations in Cartesian Space
TrueRMA: Learning Fast and Smooth Robot Trajectories with Recursive Midpoint Adaptations in Cartesian Space
Jonas C. Kiemel
Pascal Meissner
Torsten Kröger
25
6
0
05 Jun 2020
Acme: A Research Framework for Distributed Reinforcement Learning
Acme: A Research Framework for Distributed Reinforcement Learning
Matthew W. Hoffman
Bobak Shahriari
John Aslanides
Gabriel Barth-Maron
Nikola Momchev
...
Srivatsan Srinivasan
A. Cowie
Ziyun Wang
Bilal Piot
Nando de Freitas
65
225
0
01 Jun 2020
DeepSoCS: A Neural Scheduler for Heterogeneous System-on-Chip (SoC)
  Resource Scheduling
DeepSoCS: A Neural Scheduler for Heterogeneous System-on-Chip (SoC) Resource Scheduling
Tegg Taekyong Sung
J. Ha
Jeewoo Kim
Alex Yahja
Chae-Bong Sohn
Bo Ryu
21
9
0
15 May 2020
Smooth Exploration for Robotic Reinforcement Learning
Smooth Exploration for Robotic Reinforcement Learning
Antonin Raffin
Jens Kober
F. Stulp
32
57
0
12 May 2020
First return, then explore
First return, then explore
Adrien Ecoffet
Joost Huizinga
Joel Lehman
Kenneth O. Stanley
Jeff Clune
47
351
0
27 Apr 2020
Design and Control of Roller Grasper V2 for In-Hand Manipulation
Design and Control of Roller Grasper V2 for In-Hand Manipulation
Shenli Yuan
Lin Shao
Connor L. Yako
Alexander M. Gruebele
J. Salisbury
11
42
0
18 Apr 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
93
1,935
0
11 Apr 2020
State-Only Imitation Learning for Dexterous Manipulation
State-Only Imitation Learning for Dexterous Manipulation
Ilija Radosavovic
Xiaolong Wang
Lerrel Pinto
Jitendra Malik
OffRL
19
121
0
07 Apr 2020
Learning Agile Robotic Locomotion Skills by Imitating Animals
Learning Agile Robotic Locomotion Skills by Imitating Animals
Xue Bin Peng
Erwin Coumans
Tingnan Zhang
T. Lee
Jie Tan
Sergey Levine
34
496
0
02 Apr 2020
A Sensorized Multicurved Robot Finger with Data-driven Touch Sensing via
  Overlapping Light Signals
A Sensorized Multicurved Robot Finger with Data-driven Touch Sensing via Overlapping Light Signals
Pedro Piacenza
Keith Behrman
Benedikt Schifferer
Ioannis Kymissis
M. Ciocarlie
SyDa
19
45
0
01 Apr 2020
Controlling Rayleigh-Bénard convection via Reinforcement Learning
Controlling Rayleigh-Bénard convection via Reinforcement Learning
Gerben Beintema
Alessandro Corbetta
Luca Biferale
F. Toschi
AI4CE
27
79
0
31 Mar 2020
Agent57: Outperforming the Atari Human Benchmark
Agent57: Outperforming the Atari Human Benchmark
Adria Puigdomenech Badia
Bilal Piot
Steven Kapturowski
Pablo Sprechmann
Alex Vitvitskyi
Daniel Guo
Charles Blundell
OffRL
29
510
0
30 Mar 2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A
  Survey
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey
Chongzhen Zhang
Jianrui Wang
Gary G. Yen
Chaoqiang Zhao
Qiyu Sun
Yang Tang
Feng Qian
Jürgen Kurths
AAML
35
20
0
29 Mar 2020
Learning to Play Soccer by Reinforcement and Applying Sim-to-Real to
  Compete in the Real World
Learning to Play Soccer by Reinforcement and Applying Sim-to-Real to Compete in the Real World
H. Bassani
R. A. Delgado
J. N. D. O. L. Junior
H. R. Medeiros
Pedro H. M. Braga
Alain Tapp
8
7
0
24 Mar 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
34
120
0
24 Mar 2020
Learning to Fly via Deep Model-Based Reinforcement Learning
Learning to Fly via Deep Model-Based Reinforcement Learning
Philip Becker-Ehmck
Maximilian Karl
Jan Peters
Patrick van der Smagt
SSL
37
37
0
19 Mar 2020
The State of Lifelong Learning in Service Robots: Current Bottlenecks in
  Object Perception and Manipulation
The State of Lifelong Learning in Service Robots: Current Bottlenecks in Object Perception and Manipulation
S. Kasaei
J. Melsen
Floris van Beers
Christiaan Steenkist
K. Vončina
24
12
0
18 Mar 2020
Learning Predictive Representations for Deformable Objects Using
  Contrastive Estimation
Learning Predictive Representations for Deformable Objects Using Contrastive Estimation
Wilson Yan
Ashwin Vangipuram
Pieter Abbeel
Lerrel Pinto
37
188
0
11 Mar 2020
Balance Between Efficient and Effective Learning: Dense2Sparse Reward
  Shaping for Robot Manipulation with Environment Uncertainty
Balance Between Efficient and Effective Learning: Dense2Sparse Reward Shaping for Robot Manipulation with Environment Uncertainty
Yongle Luo
Kun Dong
Lili Zhao
Zhiyong Sun
Chao Zhou
Bo Song
34
13
0
05 Mar 2020
Traversing the Reality Gap via Simulator Tuning
Traversing the Reality Gap via Simulator Tuning
J. Collins
Ross Brown
Jurgen Leitner
David Howard
36
14
0
03 Mar 2020
Reconfigurable Design for Omni-adaptive Grasp Learning
Reconfigurable Design for Omni-adaptive Grasp Learning
Fang Wan
Haokun Wang
Jiyuan Wu
Yujia Liu
Sheng Ge
Chaoyang Song
10
20
0
29 Feb 2020
From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the
  World of AI
From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the World of AI
S. Risi
Mike Preuss
32
56
0
24 Feb 2020
Learning Pregrasp Manipulation of Objects from Ungraspable Poses
Learning Pregrasp Manipulation of Objects from Ungraspable Poses
Zhaole Sun
Kai Yuan
Wenbin Hu
Chuanyu Yang
Zhibin Li
SSL
18
28
0
15 Feb 2020
Reaching, Grasping and Re-grasping: Learning Multimode Grasping Skills
Reaching, Grasping and Re-grasping: Learning Multimode Grasping Skills
Wenbin Hu
Chuanyu Yang
Kai Yuan
Zhibin Li
25
5
0
11 Feb 2020
Provably Efficient Online Hyperparameter Optimization with
  Population-Based Bandits
Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits
Jack Parker-Holder
Vu Nguyen
Stephen J. Roberts
OffRL
75
83
0
06 Feb 2020
The utility of tactile force to autonomous learning of in-hand
  manipulation is task-dependent
The utility of tactile force to autonomous learning of in-hand manipulation is task-dependent
Romina Mir
Ali Marjaninejad
Francisco J. Valero Cuevas
10
1
0
05 Feb 2020
Lyceum: An efficient and scalable ecosystem for robot learning
Lyceum: An efficient and scalable ecosystem for robot learning
Colin Summers
Kendall Lowrey
Aravind Rajeswaran
S. Srinivasa
E. Todorov
24
18
0
21 Jan 2020
Benchmarking In-Hand Manipulation
Benchmarking In-Hand Manipulation
S. Cruciani
Balakumar Sundaralingam
Kaiyu Hang
Vikash Kumar
Tucker Hermans
Danica Kragic
21
40
0
09 Jan 2020
Continuous-Discrete Reinforcement Learning for Hybrid Control in
  Robotics
Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics
Michael Neunert
A. Abdolmaleki
Markus Wulfmeier
Thomas Lampe
Jost Tobias Springenberg
Roland Hafner
Francesco Romano
J. Buchli
N. Heess
Martin Riedmiller
21
91
0
02 Jan 2020
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human
  Videos
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos
Laura M. Smith
Nikita Dhawan
Marvin Zhang
Pieter Abbeel
Sergey Levine
41
156
0
10 Dec 2019
Large-scale 6D Object Pose Estimation Dataset for Industrial Bin-Picking
Large-scale 6D Object Pose Estimation Dataset for Industrial Bin-Picking
Kilian Kleeberger
Christian Landgraf
Marco F. Huber
3DPC
3DV
24
69
0
06 Dec 2019
Attention-Privileged Reinforcement Learning
Attention-Privileged Reinforcement Learning
Sasha Salter
Dushyant Rao
Markus Wulfmeier
R. Hadsell
Ingmar Posner
23
8
0
19 Nov 2019
IKEA Furniture Assembly Environment for Long-Horizon Complex
  Manipulation Tasks
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks
Youngwoon Lee
E. Hu
Zhengyu Yang
Alexander Yin
Joseph J. Lim
31
122
0
17 Nov 2019
SUMMIT: A Simulator for Urban Driving in Massive Mixed Traffic
SUMMIT: A Simulator for Urban Driving in Massive Mixed Traffic
Panpan Cai
Yiyuan Lee
Yuanfu Luo
David Hsu
24
78
0
11 Nov 2019
DeepRacer: Educational Autonomous Racing Platform for Experimentation
  with Sim2Real Reinforcement Learning
DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning
Bharathan Balaji
S. Mallya
Sahika Genc
Saurabh Gupta
Leo Dirac
...
Yunzhe Tao
Brian Townsend
E. Calleja
Sunil Muralidhara
Dhanasekar Karuppasamy
21
56
0
05 Nov 2019
Learning to Manipulate Deformable Objects without Demonstrations
Learning to Manipulate Deformable Objects without Demonstrations
Yilin Wu
Wilson Yan
Thanard Kurutach
Lerrel Pinto
Pieter Abbeel
OffRL
31
199
0
29 Oct 2019
Feedback Linearization for Unknown Systems via Reinforcement Learning
Feedback Linearization for Unknown Systems via Reinforcement Learning
T. Westenbroek
David Fridovich-Keil
Eric Mazumdar
Shreyas Arora
Valmik Prabhu
S. Shankar Sastry
Claire Tomlin
16
28
0
29 Oct 2019
HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation
  with Mobile Manipulators
HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators
Chengshu Li
Fei Xia
R. M. Martin
Silvio Savarese
30
100
0
24 Oct 2019
Learning Hierarchical Control for Robust In-Hand Manipulation
Learning Hierarchical Control for Robust In-Hand Manipulation
Tingguang Li
K. Srinivasan
Max Q.-H. Meng
Wenzhen Yuan
Jeannette Bohg
29
41
0
24 Oct 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta
  Reinforcement Learning
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
Tianhe Yu
Deirdre Quillen
Zhanpeng He
Ryan Julian
Avnish Narayan
Hayden Shively
Adithya Bellathur
Karol Hausman
Chelsea Finn
Sergey Levine
OffRL
98
1,128
0
24 Oct 2019
Sample Complexity of Reinforcement Learning using Linearly Combined
  Model Ensembles
Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles
Aditya Modi
Nan Jiang
Ambuj Tewari
Satinder Singh
17
129
0
23 Oct 2019
Robust Visual Domain Randomization for Reinforcement Learning
Robust Visual Domain Randomization for Reinforcement Learning
Reda Bahi Slaoui
W. Clements
Jakob N. Foerster
Sébastien Toth
OOD
12
12
0
23 Oct 2019
IPO: Interior-point Policy Optimization under Constraints
IPO: Interior-point Policy Optimization under Constraints
Yongshuai Liu
J. Ding
Xin Liu
24
175
0
21 Oct 2019
Soft Actor-Critic for Discrete Action Settings
Soft Actor-Critic for Discrete Action Settings
Petros Christodoulou
OffRL
104
292
0
16 Oct 2019
On the Utility of Learning about Humans for Human-AI Coordination
On the Utility of Learning about Humans for Human-AI Coordination
Micah Carroll
Rohin Shah
Mark K. Ho
Thomas Griffiths
S. Seshia
Pieter Abbeel
Anca Dragan
HAI
19
382
0
13 Oct 2019
Integrating Behavior Cloning and Reinforcement Learning for Improved
  Performance in Dense and Sparse Reward Environments
Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments
Vinicius G. Goecks
Gregory M. Gremillion
Vernon J. Lawhern
J. Valasek
Nicholas R. Waytowich
OffRL
19
31
0
09 Oct 2019
Imagined Value Gradients: Model-Based Policy Optimization with
  Transferable Latent Dynamics Models
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models
Arunkumar Byravan
Jost Tobias Springenberg
A. Abdolmaleki
Roland Hafner
Michael Neunert
Thomas Lampe
Noah Y. Siegel
N. Heess
Martin Riedmiller
OffRL
11
41
0
09 Oct 2019
Learning Fast Adaptation with Meta Strategy Optimization
Learning Fast Adaptation with Meta Strategy Optimization
Wenhao Yu
Jie Tan
Yunfei Bai
Erwin Coumans
Sehoon Ha
28
93
0
28 Sep 2019
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