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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 / 417 papers shown
Title
Maximum Entropy Population-Based Training for Zero-Shot Human-AI
  Coordination
Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination
Rui Zhao
Jinming Song
Yufeng Yuan
Haifeng Hu
Yang Gao
Yi Wu
Zhongqian Sun
Yang Wei
32
63
0
22 Dec 2021
RoboAssembly: Learning Generalizable Furniture Assembly Policy in a
  Novel Multi-robot Contact-rich Simulation Environment
RoboAssembly: Learning Generalizable Furniture Assembly Policy in a Novel Multi-robot Contact-rich Simulation Environment
Mingxin Yu
Lin Shao
Zhehuan Chen
Tianhao Wu
Qingnan Fan
Kaichun Mo
Hao Dong
34
17
0
19 Dec 2021
Invariance Through Latent Alignment
Invariance Through Latent Alignment
Takuma Yoneda
Ge Yang
Matthew R. Walter
Bradly C. Stadie
OOD
23
9
0
15 Dec 2021
Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on
  Real-World Robots
Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots
Krishan Rana
Vibhavari Dasagi
Jesse Haviland
Ben Talbot
Michael Milford
Niko Sünderhauf
32
1
0
10 Dec 2021
A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation
A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation
Rika Antonova
Jingyun Yang
Priya Sundaresan
Dieter Fox
Fabio Ramos
Jeannette Bohg
20
18
0
09 Dec 2021
Learning over All Stabilizing Nonlinear Controllers for a
  Partially-Observed Linear System
Learning over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System
Ruigang Wang
Nicholas H. Barbara
Max Revay
I. Manchester
14
16
0
08 Dec 2021
Learning a Robust Multiagent Driving Policy for Traffic Congestion
  Reduction
Learning a Robust Multiagent Driving Policy for Traffic Congestion Reduction
Yulin Zhang
William Macke
Jiaxun Cui
Daniel Urieli
Peter Stone
26
8
0
03 Dec 2021
Tool as Embodiment for Recursive Manipulation
Tool as Embodiment for Recursive Manipulation
Yukiyasu Noguchi
T. Matsushima
Y. Matsuo
S. Gu
38
7
0
01 Dec 2021
A soft thumb-sized vision-based sensor with accurate all-round force
  perception
A soft thumb-sized vision-based sensor with accurate all-round force perception
Huanbo Sun
Katherine J. Kuchenbecker
Georg Martius
30
164
0
10 Nov 2021
A Differentiable Recipe for Learning Visual Non-Prehensile Planar
  Manipulation
A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation
Bernardo Aceituno-Cabezas
Alberto Rodriguez
Shubham Tulsiani
Abhinav Gupta
Mustafa Mukadam
27
4
0
09 Nov 2021
Data-Efficient Deep Reinforcement Learning for Attitude Control of
  Fixed-Wing UAVs: Field Experiments
Data-Efficient Deep Reinforcement Learning for Attitude Control of Fixed-Wing UAVs: Field Experiments
Eivind Bøhn
E. M. Coates
D. Reinhardt
T. Johansen
22
27
0
07 Nov 2021
Learning to Cooperate with Unseen Agent via Meta-Reinforcement Learning
Learning to Cooperate with Unseen Agent via Meta-Reinforcement Learning
Rujikorn Charakorn
P. Manoonpong
Nat Dilokthanakul
33
5
0
05 Nov 2021
Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task
  Learning
Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning
Wenlong Huang
Igor Mordatch
Pieter Abbeel
Deepak Pathak
43
63
0
04 Nov 2021
A System for General In-Hand Object Re-Orientation
A System for General In-Hand Object Re-Orientation
Tao Chen
Jie Xu
Pulkit Agrawal
45
251
0
04 Nov 2021
B-Pref: Benchmarking Preference-Based Reinforcement Learning
B-Pref: Benchmarking Preference-Based Reinforcement Learning
Kimin Lee
Laura M. Smith
Anca Dragan
Pieter Abbeel
OffRL
42
93
0
04 Nov 2021
Learning Large Neighborhood Search Policy for Integer Programming
Learning Large Neighborhood Search Policy for Integer Programming
Yaoxin Wu
Wen Song
Zhiguang Cao
Jie Zhang
27
41
0
01 Nov 2021
Validate on Sim, Detect on Real -- Model Selection for Domain
  Randomization
Validate on Sim, Detect on Real -- Model Selection for Domain Randomization
Gal Leibovich
Guy Jacob
Shadi Endrawis
Gal Novik
Aviv Tamar
30
7
0
01 Nov 2021
Understanding the Effect of Stochasticity in Policy Optimization
Understanding the Effect of Stochasticity in Policy Optimization
Jincheng Mei
Bo Dai
Chenjun Xiao
Csaba Szepesvári
Dale Schuurmans
19
17
0
29 Oct 2021
Contact Transfer: A Direct, User-Driven Method for Human to Robot
  Transfer of Grasps and Manipulations
Contact Transfer: A Direct, User-Driven Method for Human to Robot Transfer of Grasps and Manipulations
A. Lakshmipathy
Dominik Bauer
C. Bauer
N. S. Pollard
18
13
0
29 Oct 2021
Accelerating Robotic Reinforcement Learning via Parameterized Action
  Primitives
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives
Murtaza Dalal
Deepak Pathak
Ruslan Salakhutdinov
40
90
0
28 Oct 2021
D2RLIR : an improved and diversified ranking function in interactive
  recommendation systems based on deep reinforcement learning
D2RLIR : an improved and diversified ranking function in interactive recommendation systems based on deep reinforcement learning
Vahid Baghi
Seyed Mohammad Seyed Motehayeri
A. Moeini
R. Abedian
18
1
0
28 Oct 2021
Efficient Robotic Manipulation Through Offline-to-Online Reinforcement
  Learning and Goal-Aware State Information
Efficient Robotic Manipulation Through Offline-to-Online Reinforcement Learning and Goal-Aware State Information
Jin Li
Xianyuan Zhan
Zixu Xiao
Guyue Zhou
OffRL
OnRL
29
2
0
21 Oct 2021
Continuous Control with Action Quantization from Demonstrations
Continuous Control with Action Quantization from Demonstrations
Robert Dadashi
Léonard Hussenot
Damien Vincent
Sertan Girgin
Anton Raichuk
M. Geist
Olivier Pietquin
OffRL
33
23
0
19 Oct 2021
Optimistic Policy Optimization is Provably Efficient in Non-stationary
  MDPs
Optimistic Policy Optimization is Provably Efficient in Non-stationary MDPs
Han Zhong
Zhuoran Yang
Zhaoran Wang
Csaba Szepesvári
42
21
0
18 Oct 2021
Stabilizing Dynamical Systems via Policy Gradient Methods
Stabilizing Dynamical Systems via Policy Gradient Methods
Juan C. Perdomo
Jack Umenberger
Max Simchowitz
40
44
0
13 Oct 2021
Understanding Domain Randomization for Sim-to-real Transfer
Understanding Domain Randomization for Sim-to-real Transfer
Xiaoyu Chen
Jiachen Hu
Chi Jin
Lihong Li
Liwei Wang
24
112
0
07 Oct 2021
Replay-Guided Adversarial Environment Design
Replay-Guided Adversarial Environment Design
Minqi Jiang
Michael Dennis
Jack Parker-Holder
Jakob N. Foerster
Edward Grefenstette
Tim Rocktaschel
129
95
0
06 Oct 2021
Imaginary Hindsight Experience Replay: Curious Model-based Learning for
  Sparse Reward Tasks
Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks
Robert McCarthy
Qiang Wang
S. Redmond
OffRL
32
15
0
05 Oct 2021
Dropout Q-Functions for Doubly Efficient Reinforcement Learning
Dropout Q-Functions for Doubly Efficient Reinforcement Learning
Takuya Hiraoka
Takahisa Imagawa
Taisei Hashimoto
Takashi Onishi
Yoshimasa Tsuruoka
13
105
0
05 Oct 2021
Continuous-Time Fitted Value Iteration for Robust Policies
Continuous-Time Fitted Value Iteration for Robust Policies
M. Lutter
Boris Belousov
Shie Mannor
Dieter Fox
Animesh Garg
Jan Peters
10
9
0
05 Oct 2021
TrajectoTree: Trajectory Optimization Meets Tree Search for Planning
  Multi-contact Dexterous Manipulation
TrajectoTree: Trajectory Optimization Meets Tree Search for Planning Multi-contact Dexterous Manipulation
Claire Chen
Preston Culbertson
Marion Lepert
Mac Schwager
Jeannette Bohg
35
35
0
28 Sep 2021
MetaDrive: Composing Diverse Driving Scenarios for Generalizable
  Reinforcement Learning
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning
Quanyi Li
Zhenghao Peng
Lan Feng
Qihang Zhang
Zhenghai Xue
Bolei Zhou
43
232
0
26 Sep 2021
A Workflow for Offline Model-Free Robotic Reinforcement Learning
A Workflow for Offline Model-Free Robotic Reinforcement Learning
Aviral Kumar
Anika Singh
Stephen Tian
Chelsea Finn
Sergey Levine
OffRL
143
85
0
22 Sep 2021
Probabilistic Inference of Simulation Parameters via Parallel
  Differentiable Simulation
Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation
Eric Heiden
Chris Denniston
David Millard
Fabio Ramos
Gaurav Sukhatme
27
21
0
18 Sep 2021
Dropout's Dream Land: Generalization from Learned Simulators to Reality
Dropout's Dream Land: Generalization from Learned Simulators to Reality
Zac Wellmer
James T. Kwok
SyDa
24
9
0
17 Sep 2021
Optimal Stroke Learning with Policy Gradient Approach for Robotic Table
  Tennis
Optimal Stroke Learning with Policy Gradient Approach for Robotic Table Tennis
Yapeng Gao
Jonas Tebbe
A. Zell
OffRL
18
14
0
07 Sep 2021
Learning to Synthesize Programs as Interpretable and Generalizable
  Policies
Learning to Synthesize Programs as Interpretable and Generalizable Policies
Dweep Trivedi
Jesse Zhang
Shao-Hua Sun
Joseph J. Lim
NAI
24
72
0
31 Aug 2021
SurRoL: An Open-source Reinforcement Learning Centered and dVRK
  Compatible Platform for Surgical Robot Learning
SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning
Jiaqi Xu
Bin Li
Bo Lu
Yunhui Liu
Qi Dou
Pheng-Ann Heng
29
74
0
30 Aug 2021
Isaac Gym: High Performance GPU-Based Physics Simulation For Robot
  Learning
Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning
Viktor Makoviychuk
Lukasz Wawrzyniak
Yunrong Guo
Michelle Lu
Kier Storey
...
David Hoeller
Nikita Rudin
Arthur Allshire
Ankur Handa
Gavriel State
79
1,018
0
24 Aug 2021
Transferring Dexterous Manipulation from GPU Simulation to a Remote
  Real-World TriFinger
Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger
Arthur Allshire
Mayank Mittal
Varun Lodaya
Viktor Makoviychuk
Denys Makoviichuk
Felix Widmaier
Manuel Wüthrich
Stefan Bauer
Ankur Handa
Animesh Garg
32
72
0
22 Aug 2021
DexMV: Imitation Learning for Dexterous Manipulation from Human Videos
DexMV: Imitation Learning for Dexterous Manipulation from Human Videos
Yuzhe Qin
Yueh-hua Wu
Shaowei Liu
Hanwen Jiang
Ruihan Yang
Yang Fu
Xiaolong Wang
134
190
0
12 Aug 2021
Long-Horizon Manipulation of Unknown Objects via Task and Motion
  Planning with Estimated Affordances
Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances
Aidan Curtis
Xiaolin Fang
L. Kaelbling
Tomás Lozano-Pérez
Caelan Reed Garrett
152
63
0
09 Aug 2021
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual,
  Interactive, and Ecological Environments
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments
S. Srivastava
Chengshu Li
Michael Lingelbach
Roberto Martín-Martín
Fei Xia
...
Chenxi Liu
Silvio Savarese
H. Gweon
Jiajun Wu
Li Fei-Fei
LM&Ro
156
159
0
06 Aug 2021
Tianshou: a Highly Modularized Deep Reinforcement Learning Library
Tianshou: a Highly Modularized Deep Reinforcement Learning Library
Jiayi Weng
Huayu Chen
Dong Yan
Kaichao You
Alexis Duburcq
Minghao Zhang
Yi Su
Hang Su
Jun Zhu
NoLa
OffRL
32
195
0
29 Jul 2021
DR2L: Surfacing Corner Cases to Robustify Autonomous Driving via Domain
  Randomization Reinforcement Learning
DR2L: Surfacing Corner Cases to Robustify Autonomous Driving via Domain Randomization Reinforcement Learning
Haoyi Niu
Jianming Hu
Zheyu Cui
Yi Zhang
36
16
0
25 Jul 2021
Bayesian Controller Fusion: Leveraging Control Priors in Deep
  Reinforcement Learning for Robotics
Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics
Krishan Rana
Vibhavari Dasagi
Jesse Haviland
Ben Talbot
Michael Milford
Niko Sünderhauf
BDL
OffRL
27
31
0
21 Jul 2021
An End-to-End Differentiable Framework for Contact-Aware Robot Design
An End-to-End Differentiable Framework for Contact-Aware Robot Design
Jie Xu
Tao Chen
Lara Zlokapa
Michael Foshey
Wojciech Matusik
Shinjiro Sueda
Pulkit Agrawal
27
89
0
15 Jul 2021
An Overview and Experimental Study of Learning-based Optimization
  Algorithms for Vehicle Routing Problem
An Overview and Experimental Study of Learning-based Optimization Algorithms for Vehicle Routing Problem
Bingjie Li
Guohua Wu
Yongming He
Mingfeng Fan
Witold Pedrycz
64
68
0
15 Jul 2021
Vision-driven Compliant Manipulation for Reliable, High-Precision
  Assembly Tasks
Vision-driven Compliant Manipulation for Reliable, High-Precision Assembly Tasks
A. S. Morgan
Bowen Wen
Junchi Liang
Abdeslam Boularias
A. Dollar
Kostas Bekris
30
54
0
26 Jun 2021
Compositional Reinforcement Learning from Logical Specifications
Compositional Reinforcement Learning from Logical Specifications
Kishor Jothimurugan
Suguman Bansal
Osbert Bastani
Rajeev Alur
CoGe
28
78
0
25 Jun 2021
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