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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
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Papers citing "Learning Dexterous In-Hand Manipulation"

50 / 407 papers shown
Title
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual
  Policies
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies
Linxi Fan
Guanzhi Wang
De-An Huang
Zhiding Yu
Li Fei-Fei
Yuke Zhu
Anima Anandkumar
OffRL
30
63
0
17 Jun 2021
Towards Practical Credit Assignment for Deep Reinforcement Learning
Towards Practical Credit Assignment for Deep Reinforcement Learning
Vyacheslav Alipov
Riley Simmons-Edler
N.Yu. Putintsev
Pavel Kalinin
Dmitry Vetrov
OffRL
35
11
0
08 Jun 2021
Same State, Different Task: Continual Reinforcement Learning without
  Interference
Same State, Different Task: Continual Reinforcement Learning without Interference
Samuel Kessler
Jack Parker-Holder
Philip J. Ball
S. Zohren
Stephen J. Roberts
CLL
OffRL
19
46
0
05 Jun 2021
What Matters for Adversarial Imitation Learning?
What Matters for Adversarial Imitation Learning?
Manu Orsini
Anton Raichuk
Léonard Hussenot
Damien Vincent
Robert Dadashi
Sertan Girgin
M. Geist
Olivier Bachem
Olivier Pietquin
Marcin Andrychowicz
49
77
0
01 Jun 2021
Deeply-Debiased Off-Policy Interval Estimation
Deeply-Debiased Off-Policy Interval Estimation
C. Shi
Runzhe Wan
Victor Chernozhukov
R. Song
OffRL
25
36
0
10 May 2021
Auto-Tuned Sim-to-Real Transfer
Auto-Tuned Sim-to-Real Transfer
Yuqing Du
Olivia Watkins
Trevor Darrell
Pieter Abbeel
Deepak Pathak
27
69
0
15 Apr 2021
GEM: Group Enhanced Model for Learning Dynamical Control Systems
GEM: Group Enhanced Model for Learning Dynamical Control Systems
Philippe Hansen-Estruch
Wenling Shang
Lerrel Pinto
Pieter Abbeel
Stas Tiomkin
AI4CE
33
2
0
07 Apr 2021
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human
  Videos
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos
Annie S. Chen
Suraj Nair
Chelsea Finn
38
137
0
31 Mar 2021
Learning Reactive and Predictive Differentiable Controllers for
  Switching Linear Dynamical Models
Learning Reactive and Predictive Differentiable Controllers for Switching Linear Dynamical Models
Saumya Saxena
A. LaGrassa
Oliver Kroemer
23
4
0
26 Mar 2021
Nearly Horizon-Free Offline Reinforcement Learning
Nearly Horizon-Free Offline Reinforcement Learning
Tongzheng Ren
Jialian Li
Bo Dai
S. Du
Sujay Sanghavi
OffRL
32
49
0
25 Mar 2021
Regularized Behavior Value Estimation
Regularized Behavior Value Estimation
Çağlar Gülçehre
Sergio Gomez Colmenarejo
Ziyun Wang
Jakub Sygnowski
T. Paine
Konrad Zolna
Yutian Chen
Matthew W. Hoffman
Razvan Pascanu
Nando de Freitas
OffRL
31
37
0
17 Mar 2021
HyperDynamics: Meta-Learning Object and Agent Dynamics with
  Hypernetworks
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks
Zhou Xian
Shamit Lal
H. Tung
Emmanouil Antonios Platanios
Katerina Fragkiadaki
AI4CE
33
23
0
17 Mar 2021
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic
  Platforms
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms
Ali Ghadirzadeh
Xi Chen
Petra Poklukar
Chelsea Finn
Mårten Björkman
Danica Kragic
BDL
39
41
0
05 Mar 2021
Interpretability in Contact-Rich Manipulation via Kinodynamic Images
Interpretability in Contact-Rich Manipulation via Kinodynamic Images
Ioanna Mitsioni
Joonatan Mänttäri
Y. Karayiannidis
John Folkesson
Danica Kragic
FAtt
11
3
0
23 Feb 2021
kPAM 2.0: Feedback Control for Category-Level Robotic Manipulation
kPAM 2.0: Feedback Control for Category-Level Robotic Manipulation
Wei Gao
Russ Tedrake
29
71
0
11 Feb 2021
Asymmetric self-play for automatic goal discovery in robotic
  manipulation
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
82
76
0
13 Jan 2021
Mesh Based Analysis of Low Fractal Dimension Reinforcement Learning
  Policies
Mesh Based Analysis of Low Fractal Dimension Reinforcement Learning Policies
Sean Gillen
Katie Byl
AI4CE
20
2
0
24 Dec 2020
Emergent Hand Morphology and Control from Optimizing Robust Grasps of
  Diverse Objects
Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects
Xinlei Pan
Animesh Garg
Anima Anandkumar
Yuke Zhu
18
15
0
22 Dec 2020
Learning Cross-Domain Correspondence for Control with Dynamics
  Cycle-Consistency
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency
Qiang Zhang
Tete Xiao
Alexei A. Efros
Lerrel Pinto
Xiaolong Wang
20
62
0
17 Dec 2020
TACTO: A Fast, Flexible, and Open-source Simulator for High-Resolution
  Vision-based Tactile Sensors
TACTO: A Fast, Flexible, and Open-source Simulator for High-Resolution Vision-based Tactile Sensors
Shaoxiong Wang
Mike Lambeta
Po-wei Chou
Roberto Calandra
18
137
0
15 Dec 2020
EventHands: Real-Time Neural 3D Hand Pose Estimation from an Event
  Stream
EventHands: Real-Time Neural 3D Hand Pose Estimation from an Event Stream
Viktor Rudnev
Vladislav Golyanik
Jiayi Wang
Hans-Peter Seidel
Franziska Mueller
Mohamed A. Elgharib
Christian Theobalt
34
51
0
11 Dec 2020
Bi-directional Domain Adaptation for Sim2Real Transfer of Embodied
  Navigation Agents
Bi-directional Domain Adaptation for Sim2Real Transfer of Embodied Navigation Agents
Joanne Truong
Sonia Chernova
Dhruv Batra
33
56
0
24 Nov 2020
Fast robust peg-in-hole insertion with continuous visual servoing
Fast robust peg-in-hole insertion with continuous visual servoing
R. Haugaard
Jeppe Langaa
Christoffer Sloth
A. Buch
19
31
0
12 Nov 2020
Simulating Autonomous Driving in Massive Mixed Urban Traffic
Simulating Autonomous Driving in Massive Mixed Urban Traffic
Yuanfu Luo
Panpan Cai
Yiyuan Lee
David Hsu
19
3
0
11 Nov 2020
Playing optical tweezers with deep reinforcement learning: in virtual,
  physical and augmented environments
Playing optical tweezers with deep reinforcement learning: in virtual, physical and augmented environments
M. Praeger
Yunhui Xie
J. Grant-Jacob
R. Eason
B. Mills
22
11
0
05 Nov 2020
Learning Robot Trajectories subject to Kinematic Joint Constraints
Learning Robot Trajectories subject to Kinematic Joint Constraints
Jonas C. Kiemel
Torsten Kröger
22
7
0
01 Nov 2020
COG: Connecting New Skills to Past Experience with Offline Reinforcement
  Learning
COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning
Avi Singh
Albert Yu
Jonathan Yang
Jesse Zhang
Aviral Kumar
Sergey Levine
SSL
OffRL
OnRL
35
103
0
27 Oct 2020
On the Transfer of Disentangled Representations in Realistic Settings
On the Transfer of Disentangled Representations in Realistic Settings
Andrea Dittadi
Frederik Trauble
Francesco Locatello
M. Wuthrich
Vaibhav Agrawal
Ole Winther
Stefan Bauer
Bernhard Schölkopf
OOD
35
80
0
27 Oct 2020
Behavior Priors for Efficient Reinforcement Learning
Behavior Priors for Efficient Reinforcement Learning
Dhruva Tirumala
Alexandre Galashov
Hyeonwoo Noh
Leonard Hasenclever
Razvan Pascanu
...
Guillaume Desjardins
Wojciech M. Czarnecki
Arun Ahuja
Yee Whye Teh
N. Heess
37
39
0
27 Oct 2020
High Acceleration Reinforcement Learning for Real-World Juggling with
  Binary Rewards
High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards
Kai Ploeger
M. Lutter
Jan Peters
22
29
0
26 Oct 2020
Predicting Infectiousness for Proactive Contact Tracing
Predicting Infectiousness for Proactive Contact Tracing
Yoshua Bengio
Prateek Gupta
Tegan Maharaj
Nasim Rahaman
Martin Weiss
...
Irina Rish
Bernhard Schölkopf
Abhinav Sharma
Jian Tang
Andrew Robert Williams
42
15
0
23 Oct 2020
Reinforcement Learning with Combinatorial Actions: An Application to
  Vehicle Routing
Reinforcement Learning with Combinatorial Actions: An Application to Vehicle Routing
A. Delarue
Ross Anderson
Christian Tjandraatmadja
35
94
0
22 Oct 2020
Robust Constrained Reinforcement Learning for Continuous Control with
  Model Misspecification
Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification
D. Mankowitz
D. A. Calian
Rae Jeong
Cosmin Paduraru
N. Heess
Sumanth Dathathri
Martin Riedmiller
Timothy A. Mann
24
11
0
20 Oct 2020
Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot
  Experience
Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience
Robert Lee
Daniel Ward
Akansel Cosgun
Vibhavari Dasagi
Peter Corke
Jurgen Leitner
SSL
25
66
0
07 Oct 2020
Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent
  Control
Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control
Qingrui Zhang
Hao Dong
Wei Pan
29
6
0
20 Sep 2020
GRAC: Self-Guided and Self-Regularized Actor-Critic
GRAC: Self-Guided and Self-Regularized Actor-Critic
Lin Shao
Yifan You
Mengyuan Yan
Qingyun Sun
Jeannette Bohg
29
23
0
18 Sep 2020
Autonomous Learning of Features for Control: Experiments with Embodied
  and Situated Agents
Autonomous Learning of Features for Control: Experiments with Embodied and Situated Agents
Nicola Milano
S. Nolfi
16
0
0
15 Sep 2020
Learning Dexterous Grasping with Object-Centric Visual Affordances
Learning Dexterous Grasping with Object-Centric Visual Affordances
Priyanka Mandikal
Kristen Grauman
30
135
0
03 Sep 2020
Learning Off-Policy with Online Planning
Learning Off-Policy with Online Planning
Harshit S. Sikchi
Wenxuan Zhou
David Held
OffRL
37
46
0
23 Aug 2020
A Framework for Studying Reinforcement Learning and Sim-to-Real in Robot
  Soccer
A Framework for Studying Reinforcement Learning and Sim-to-Real in Robot Soccer
H. Bassani
R. A. Delgado
J. N. D. O. L. Junior
H. R. Medeiros
Pedro H. M. Braga
Mateus G. Machado
L. H. C. Santos
Alain Tapp
10
9
0
18 Aug 2020
A Tendon-driven Robot Gripper with Passively Switchable Underactuated
  Surface and its Physics Simulation Based Parameter Optimization
A Tendon-driven Robot Gripper with Passively Switchable Underactuated Surface and its Physics Simulation Based Parameter Optimization
Tianyi Ko
14
34
0
13 Aug 2020
TriFinger: An Open-Source Robot for Learning Dexterity
TriFinger: An Open-Source Robot for Learning Dexterity
Manuel Wüthrich
Felix Widmaier
F. Grimminger
J. Akpo
S. Joshi
...
Julian Viereck
M. Naveau
Ludovic Righetti
Bernhard Schölkopf
Stefan Bauer
27
72
0
08 Aug 2020
Data-efficient Hindsight Off-policy Option Learning
Data-efficient Hindsight Off-policy Option Learning
Markus Wulfmeier
Dushyant Rao
Roland Hafner
Thomas Lampe
A. Abdolmaleki
...
Michael Neunert
Dhruva Tirumala
Noah Y. Siegel
N. Heess
Martin Riedmiller
OffRL
31
47
0
30 Jul 2020
Monte-Carlo Tree Search as Regularized Policy Optimization
Monte-Carlo Tree Search as Regularized Policy Optimization
Jean-Bastien Grill
Florent Altché
Yunhao Tang
Thomas Hubert
Michal Valko
Ioannis Antonoglou
Rémi Munos
27
73
0
24 Jul 2020
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State
  Entropy Estimate
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate
Mirco Mutti
Lorenzo Pratissoli
Marcello Restelli
11
19
0
09 Jul 2020
Self-Supervised Policy Adaptation during Deployment
Self-Supervised Policy Adaptation during Deployment
Nicklas Hansen
Rishabh Jangir
Yu Sun
Guillem Alenyà
Pieter Abbeel
Alexei A. Efros
Lerrel Pinto
Xiaolong Wang
41
159
0
08 Jul 2020
Counterfactual Data Augmentation using Locally Factored Dynamics
Counterfactual Data Augmentation using Locally Factored Dynamics
Silviu Pitis
Elliot Creager
Animesh Garg
BDL
OffRL
26
85
0
06 Jul 2020
Automatic Curriculum Learning through Value Disagreement
Automatic Curriculum Learning through Value Disagreement
Yunzhi Zhang
Pieter Abbeel
Lerrel Pinto
35
103
0
17 Jun 2020
What Matters In On-Policy Reinforcement Learning? A Large-Scale
  Empirical Study
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study
Marcin Andrychowicz
Anton Raichuk
Piotr Stańczyk
Manu Orsini
Sertan Girgin
...
M. Geist
Olivier Pietquin
Marcin Michalski
Sylvain Gelly
Olivier Bachem
OffRL
31
214
0
10 Jun 2020
Learning to Play Table Tennis From Scratch using Muscular Robots
Learning to Play Table Tennis From Scratch using Muscular Robots
Le Chen
Simon Guist
Roberto Calandra
V. Berenz
Bernhard Schölkopf
Jan Peters
17
88
0
10 Jun 2020
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