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Solving Rubik's Cube with a Robot Hand

Solving Rubik's Cube with a Robot Hand

16 October 2019
OpenAI
Ilge Akkaya
Marcin Andrychowicz
Maciek Chociej
Ma-teusz Litwin
Bob McGrew
Arthur Petron
Alex Paino
Matthias Plappert
Glenn Powell
Raphael Ribas
Jonas Schneider
Nikolas Tezak
Jerry Tworek
Peter Welinder
Lilian Weng
Qiming Yuan
Wojciech Zaremba
Lei Zhang
    ODL
ArXivPDFHTML

Papers citing "Solving Rubik's Cube with a Robot Hand"

50 / 282 papers shown
Title
Learning to Grasp the Ungraspable with Emergent Extrinsic Dexterity
Learning to Grasp the Ungraspable with Emergent Extrinsic Dexterity
Wen-Min Zhou
David Held
OffRL
13
59
0
02 Nov 2022
Teacher-student curriculum learning for reinforcement learning
Teacher-student curriculum learning for reinforcement learning
Yanick Schraner
OffRL
37
2
0
31 Oct 2022
SAM-RL: Sensing-Aware Model-Based Reinforcement Learning via
  Differentiable Physics-Based Simulation and Rendering
SAM-RL: Sensing-Aware Model-Based Reinforcement Learning via Differentiable Physics-Based Simulation and Rendering
Jun Lv
Yunhai Feng
Cheng Zhang
Shu Zhao
Lin Shao
Cewu Lu
18
24
0
27 Oct 2022
Environment Design for Inverse Reinforcement Learning
Environment Design for Inverse Reinforcement Learning
Thomas Kleine Buening
Victor Villin
Christos Dimitrakakis
32
1
0
26 Oct 2022
Will we run out of data? Limits of LLM scaling based on human-generated
  data
Will we run out of data? Limits of LLM scaling based on human-generated data
Pablo Villalobos
A. Ho
J. Sevilla
T. Besiroglu
Lennart Heim
Marius Hobbhahn
ALM
38
111
0
26 Oct 2022
DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to
  Reality
DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality
Ankur Handa
Arthur Allshire
Viktor Makoviychuk
Aleksei Petrenko
Ritvik Singh
...
Balakumar Sundaralingam
Yashraj S. Narang
Jean-Francois Lafleche
Dieter Fox
Gavriel State
40
150
0
25 Oct 2022
Co-Training an Observer and an Evading Target
Co-Training an Observer and an Evading Target
André Brandenburger
Folker Hoffmann
A. Charlish
38
1
0
20 Oct 2022
Curriculum Reinforcement Learning using Optimal Transport via Gradual
  Domain Adaptation
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation
Peide Huang
Mengdi Xu
Jiacheng Zhu
Laixi Shi
Fei Fang
Ding Zhao
CLL
41
24
0
18 Oct 2022
Deep Whole-Body Control: Learning a Unified Policy for Manipulation and
  Locomotion
Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion
Zipeng Fu
Xuxin Cheng
Deepak Pathak
19
144
0
18 Oct 2022
Online Damage Recovery for Physical Robots with Hierarchical
  Quality-Diversity
Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity
Maxime Allard
Simón C. Smith
Konstantinos Chatzilygeroudis
Bryan Lim
Antoine Cully
27
13
0
18 Oct 2022
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic
  Reinforcement Learning at Scale
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale
Kuang-Huei Lee
Ted Xiao
A. Li
Paul Wohlhart
Ian S. Fischer
Yao Lu
51
10
0
15 Oct 2022
Holo-Dex: Teaching Dexterity with Immersive Mixed Reality
Holo-Dex: Teaching Dexterity with Immersive Mixed Reality
Sridhar Pandian Arunachalam
Irmak Güzey
Soumith Chintala
Lerrel Pinto
43
68
0
12 Oct 2022
GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot
GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot
Tianli Ding
L. Graesser
Saminda Abeyruwan
David B. DÁmbrosio
Anish Shankar
P. Sermanet
Pannag R. Sanketi
Corey Lynch
50
20
0
07 Oct 2022
DexGraspNet: A Large-Scale Robotic Dexterous Grasp Dataset for General
  Objects Based on Simulation
DexGraspNet: A Large-Scale Robotic Dexterous Grasp Dataset for General Objects Based on Simulation
Ruicheng Wang
Jialiang Zhang
Jiayi Chen
Yinzhen Xu
Puhao Li
Tengyu Liu
He Wang
30
118
0
06 Oct 2022
Goal Misgeneralization: Why Correct Specifications Aren't Enough For
  Correct Goals
Goal Misgeneralization: Why Correct Specifications Aren't Enough For Correct Goals
Rohin Shah
Vikrant Varma
Ramana Kumar
Mary Phuong
Victoria Krakovna
J. Uesato
Zachary Kenton
37
68
0
04 Oct 2022
Hyperbolic Deep Reinforcement Learning
Hyperbolic Deep Reinforcement Learning
Edoardo Cetin
B. Chamberlain
Michael M. Bronstein
Jonathan J. Hunt
43
21
0
04 Oct 2022
Learning Low-Frequency Motion Control for Robust and Dynamic Robot
  Locomotion
Learning Low-Frequency Motion Control for Robust and Dynamic Robot Locomotion
Siddhant Gangapurwala
Luigi Campanaro
Ioannis Havoutis
32
12
0
29 Sep 2022
DexTransfer: Real World Multi-fingered Dexterous Grasping with Minimal
  Human Demonstrations
DexTransfer: Real World Multi-fingered Dexterous Grasping with Minimal Human Demonstrations
Zoey Qiuyu Chen
Karl Van Wyk
Yu-Wei Chao
Wei Yang
Arsalan Mousavian
Abhishek Gupta
Dieter Fox
35
21
0
28 Sep 2022
Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns
  for Cross-Domain Adaptation
Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation
Kang Xu
Yan Ma
Bingsheng Wei
Wei Li
27
3
0
24 Sep 2022
Grouped Adaptive Loss Weighting for Person Search
Grouped Adaptive Loss Weighting for Person Search
Yanling Tian
Di Chen
Yunan Liu
Shanshan Zhang
Jian Yang
36
4
0
23 Sep 2022
Learning Dexterous Manipulation from Exemplar Object Trajectories and
  Pre-Grasps
Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps
Sudeep Dasari
Abhi Gupta
Vikash Kumar
52
42
0
22 Sep 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities:
  Robustness, Safety, and Generalizability
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability
Mengdi Xu
Zuxin Liu
Peide Huang
Wenhao Ding
Zhepeng Cen
Bo-wen Li
Ding Zhao
74
45
0
16 Sep 2022
Real-to-Sim: Predicting Residual Errors of Robotic Systems with Sparse
  Data using a Learning-based Unscented Kalman Filter
Real-to-Sim: Predicting Residual Errors of Robotic Systems with Sparse Data using a Learning-based Unscented Kalman Filter
Alexander Schperberg
Yusuke Tanaka
Feng Xu
Marcel Menner
Dennis W. Hong
33
5
0
07 Sep 2022
What deep reinforcement learning tells us about human motor learning and
  vice-versa
What deep reinforcement learning tells us about human motor learning and vice-versa
Michele Garibbo
Casimir J. H. Ludwig
Nathan Lepora
Laurence Aitchison
21
0
0
23 Aug 2022
Learning Fast and Precise Pixel-to-Torque Control
Learning Fast and Precise Pixel-to-Torque Control
Steffen Bleher
Steve Heim
Sebastian Trimpe
27
2
0
03 Aug 2022
Learning Dynamic Manipulation Skills from Haptic-Play
Learning Dynamic Manipulation Skills from Haptic-Play
Taeyoon Lee
D. Sung
Kyoung-Whan Choi
Choong-Keun Lee
Changwoo Park
Keunjun Choi
40
3
0
28 Jul 2022
Human-to-Robot Imitation in the Wild
Human-to-Robot Imitation in the Wild
Shikhar Bahl
Abhi Gupta
Deepak Pathak
30
165
0
19 Jul 2022
State Dropout-Based Curriculum Reinforcement Learning for Self-Driving
  at Unsignalized Intersections
State Dropout-Based Curriculum Reinforcement Learning for Self-Driving at Unsignalized Intersections
Shivesh Khaitan
John M. Dolan
SSL
24
17
0
10 Jul 2022
Egocentric Visual Self-Modeling for Autonomous Robot Dynamics Prediction
  and Adaptation
Egocentric Visual Self-Modeling for Autonomous Robot Dynamics Prediction and Adaptation
Yuhang Hu
Boyuan Chen
Hod Lipson
46
2
0
07 Jul 2022
Learning Switching Criteria for Sim2Real Transfer of Robotic Fabric
  Manipulation Policies
Learning Switching Criteria for Sim2Real Transfer of Robotic Fabric Manipulation Policies
Satvik Sharma
Ellen R. Novoseller
Vainavi Viswanath
Zaynah Javed
R. Parikh
Ryan Hoque
Ashwin Balakrishna
Daniel S. Brown
Ken Goldberg
21
8
0
02 Jul 2022
DayDreamer: World Models for Physical Robot Learning
DayDreamer: World Models for Physical Robot Learning
Philipp Wu
Alejandro Escontrela
Danijar Hafner
Ken Goldberg
Pieter Abbeel
61
277
0
28 Jun 2022
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned
  Reinforcement Learning
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning
Yunfei Li
Tian Gao
Jiaqi Yang
Huazhe Xu
Yi Wu
OffRL
22
22
0
24 Jun 2022
A Survey on Model-based Reinforcement Learning
A Survey on Model-based Reinforcement Learning
Fan Luo
Tian Xu
Hang Lai
Xiong-Hui Chen
Weinan Zhang
Yang Yu
OffRL
LRM
50
101
0
19 Jun 2022
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement
  Learning
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning
Yuanpei Chen
Tianhao Wu
Shengjie Wang
Xidong Feng
Jiechuan Jiang
...
Yiran Geng
Hao Dong
Zongqing Lu
Song-Chun Zhu
Yaodong Yang
OffRL
38
109
0
17 Jun 2022
Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement
  Learning for Robotic Manipulation Tasks
Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement Learning for Robotic Manipulation Tasks
Josip Josifovski
M. Malmir
Noah Klarmann
B. L. Žagar
Nicolás Navarro-Guerrero
Alois C. Knoll
33
17
0
13 Jun 2022
Offline Stochastic Shortest Path: Learning, Evaluation and Towards
  Optimality
Offline Stochastic Shortest Path: Learning, Evaluation and Towards Optimality
Ming Yin
Wenjing Chen
Mengdi Wang
Yu-Xiang Wang
OffRL
30
4
0
10 Jun 2022
Real2Sim or Sim2Real: Robotics Visual Insertion using Deep Reinforcement
  Learning and Real2Sim Policy Adaptation
Real2Sim or Sim2Real: Robotics Visual Insertion using Deep Reinforcement Learning and Real2Sim Policy Adaptation
Yiwen Chen
Xue-Yong Li
Sheng Guo
Xiang Yao Ng
Marcelo H. Ang Jr
16
4
0
06 Jun 2022
Reincarnating Reinforcement Learning: Reusing Prior Computation to
  Accelerate Progress
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress
Rishabh Agarwal
Max Schwarzer
Pablo Samuel Castro
Rameswar Panda
Marc G. Bellemare
OffRL
OnRL
37
63
0
03 Jun 2022
Learning to Use Chopsticks in Diverse Gripping Styles
Learning to Use Chopsticks in Diverse Gripping Styles
Zeshi Yang
KangKang Yin
Libin Liu
27
29
0
28 May 2022
Collision Detection Accelerated: An Optimization Perspective
Collision Detection Accelerated: An Optimization Perspective
Louis Montaut
Quentin Le Lidec
Vladimir Petrik
Josef Sivic
Justin Carpentier
18
20
0
19 May 2022
Pervasive Machine Learning for Smart Radio Environments Enabled by
  Reconfigurable Intelligent Surfaces
Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfaces
G. C. Alexandropoulos
Kyriakos Stylianopoulos
Chongwen Huang
Chau Yuen
M. Bennis
Mérouane Debbah
25
87
0
08 May 2022
Rapid Locomotion via Reinforcement Learning
Rapid Locomotion via Reinforcement Learning
G. Margolis
Ge Yang
Kartik Paigwar
Tao Chen
Pulkit Agrawal
49
228
0
05 May 2022
Goldilocks-curriculum Domain Randomization and Fractal Perlin Noise with
  Application to Sim2Real Pneumonia Lesion Detection
Goldilocks-curriculum Domain Randomization and Fractal Perlin Noise with Application to Sim2Real Pneumonia Lesion Detection
Takahiro Suzuki
S. Hanaoka
Issei Sato
OOD
MedIm
26
1
0
29 Apr 2022
From One Hand to Multiple Hands: Imitation Learning for Dexterous
  Manipulation from Single-Camera Teleoperation
From One Hand to Multiple Hands: Imitation Learning for Dexterous Manipulation from Single-Camera Teleoperation
Yuzhe Qin
Hao Su
Xiaolong Wang
27
99
0
26 Apr 2022
Collaborative Target Search with a Visual Drone Swarm: An Adaptive
  Curriculum Embedded Multistage Reinforcement Learning Approach
Collaborative Target Search with a Visual Drone Swarm: An Adaptive Curriculum Embedded Multistage Reinforcement Learning Approach
Jiaping Xiao
Phumrapee Pisutsin
Mir Feroskhan
27
15
0
26 Apr 2022
Optimizing Nitrogen Management with Deep Reinforcement Learning and Crop
  Simulations
Optimizing Nitrogen Management with Deep Reinforcement Learning and Crop Simulations
Jing Wu
Ran Tao
Pan Zhao
N. F. Martin
N. Hovakimyan
OffRL
24
44
0
21 Apr 2022
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent
  Reinforcement Learning
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu
Dapeng Li
Bin Zhang
Yuan Zhan
Yunru Bai
Guoliang Fan
OffRL
27
6
0
20 Apr 2022
When Is Partially Observable Reinforcement Learning Not Scary?
When Is Partially Observable Reinforcement Learning Not Scary?
Qinghua Liu
Alan Chung
Csaba Szepesvári
Chi Jin
19
92
0
19 Apr 2022
Divide & Conquer Imitation Learning
Divide & Conquer Imitation Learning
Alexandre Chenu
Nicolas Perrin-Gilbert
Olivier Sigaud
16
5
0
15 Apr 2022
Hierarchical Quality-Diversity for Online Damage Recovery
Hierarchical Quality-Diversity for Online Damage Recovery
Maxime Allard
Simón C. Smith
Konstantinos Chatzilygeroudis
Antoine Cully
25
12
0
12 Apr 2022
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