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1806.10293
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QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
Conference on Robot Learning (CoRL), 2018
27 June 2018
Dmitry Kalashnikov
A. Irpan
P. Pastor
Julian Ibarz
Alexander Herzog
Eric Jang
Deirdre Quillen
E. Holly
Mrinal Kalakrishnan
Vincent Vanhoucke
Sergey Levine
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Papers citing
"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation"
50 / 941 papers shown
The Ingredients of Real-World Robotic Reinforcement Learning
International Conference on Learning Representations (ICLR), 2020
Henry Zhu
Justin Yu
Abhishek Gupta
Dhruv Shah
Kristian Hartikainen
Avi Singh
Vikash Kumar
Sergey Levine
OffRL
255
193
0
27 Apr 2020
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning
Ryan Julian
Benjamin Swanson
Gaurav Sukhatme
Sergey Levine
Chelsea Finn
Karol Hausman
OnRL
CLL
188
44
0
21 Apr 2020
X-Ray: Mechanical Search for an Occluded Object by Minimizing Support of Learned Occupancy Distributions
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Michael Danielczuk
A. Angelova
Vincent Vanhoucke
Ken Goldberg
175
43
0
20 Apr 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning
Justin Fu
Aviral Kumar
Ofir Nachum
George Tucker
Sergey Levine
GP
OffRL
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1,605
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15 Apr 2020
Thinking While Moving: Deep Reinforcement Learning with Concurrent Control
International Conference on Learning Representations (ICLR), 2020
Ted Xiao
Eric Jang
Dmitry Kalashnikov
Sergey Levine
Julian Ibarz
Karol Hausman
Alexander Herzog
357
42
0
13 Apr 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
International Conference on Machine Learning (ICML), 2020
A. Srinivas
Michael Laskin
Pieter Abbeel
SSL
DRL
OffRL
505
1,206
0
08 Apr 2020
Robotic Table Tennis with Model-Free Reinforcement Learning
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Wenbo Gao
L. Graesser
K. Choromanski
Xingyou Song
N. Lazić
Pannag R Sanketi
Vikas Sindhwani
Navdeep Jaitly
320
51
0
31 Mar 2020
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
346
21
0
29 Mar 2020
Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics
Aditya Ganapathi
Priya Sundaresan
Brijen Thananjeyan
Ashwin Balakrishna
Daniel Seita
...
Joseph E. Gonzalez
Nawid Jamali
K. Yamane
Soshi Iba
Ken Goldberg
153
30
0
28 Mar 2020
PointNet++ Grasping: Learning An End-to-end Spatial Grasp Generation Algorithm from Sparse Point Clouds
IEEE International Conference on Robotics and Automation (ICRA), 2020
Peiyuan Ni
Wenguang Zhang
Xiaoxiao Zhu
Q. Cao
3DPC
263
139
0
21 Mar 2020
Visual Navigation Among Humans with Optimal Control as a Supervisor
IEEE Robotics and Automation Letters (RA-L), 2020
Varun Tolani
Somil Bansal
Aleksandra Faust
Claire Tomlin
229
43
0
20 Mar 2020
Learning to Fly via Deep Model-Based Reinforcement Learning
Philip Becker-Ehmck
Maximilian Karl
Jan Peters
Patrick van der Smagt
SSL
369
39
0
19 Mar 2020
DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction
Neural Information Processing Systems (NeurIPS), 2020
Aviral Kumar
Abhishek Gupta
Sergey Levine
OffRL
168
115
0
16 Mar 2020
Active Perception and Representation for Robotic Manipulation
Youssef Y. Zaky
Gaurav Paruthi
B. Tripp
James Bergstra
167
19
0
15 Mar 2020
FACMAC: Factored Multi-Agent Centralised Policy Gradients
Neural Information Processing Systems (NeurIPS), 2020
Bei Peng
Tabish Rashid
Christian Schroeder de Witt
Pierre-Alexandre Kamienny
Juil Sock
Wendelin Bohmer
Shimon Whiteson
417
327
0
14 Mar 2020
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
218
16
0
05 Mar 2020
GOMP: Grasp-Optimized Motion Planning for Bin Picking
IEEE International Conference on Robotics and Automation (ICRA), 2020
Jeffrey Ichnowski
Michael Danielczuk
Jingyi Xu
V. Satish
Ken Goldberg
220
45
0
05 Mar 2020
q-VAE for Disentangled Representation Learning and Latent Dynamical Systems
IEEE Robotics and Automation Letters (RA-L), 2020
Taisuke Kobayashis
BDL
DRL
169
24
0
04 Mar 2020
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness
Computer Vision and Pattern Recognition (CVPR), 2020
Ahmadreza Jeddi
M. Shafiee
Michelle Karg
C. Scharfenberger
A. Wong
OOD
AAML
366
72
0
02 Mar 2020
Learning Force Control for Contact-rich Manipulation Tasks with Rigid Position-controlled Robots
C. C. Beltran-Hernandez
Damien Petit
I. Ramirez-Alpizar
T. Nishi
S. Kikuchi
Takamitsu Matsubara
Kensuke Harada
185
2
0
02 Mar 2020
MIndGrasp: A New Training and Testing Framework for Motor Imagery Based 3-Dimensional Assistive Robotic Control
Daniel R. Freer
Guang-Zhong Yang
24
1
0
01 Mar 2020
Rigid-Soft Interactive Learning for Robust Grasping
IEEE Robotics and Automation Letters (RA-L), 2020
Linhan Yang
Fang Wan
Haokun Wang
Xiaobo Liu
Yujia Liu
Jia Pan
Chaoyang Song
85
21
0
29 Feb 2020
Sub-Goal Trees -- a Framework for Goal-Based Reinforcement Learning
International Conference on Machine Learning (ICML), 2020
Tom Jurgenson
Or Avner
E. Groshev
Aviv Tamar
281
46
0
27 Feb 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
Efficient reinforcement learning control for continuum robots based on Inexplicit Prior Knowledge
Junjia Liu
Jiaying Shou
Zhuang Fu
Hangfei Zhou
Rongli Xie
Jun Zhang
Jian Fei
Yanna Zhao
168
8
0
26 Feb 2020
Scalable Multi-Task Imitation Learning with Autonomous Improvement
IEEE International Conference on Robotics and Automation (ICRA), 2020
Avi Singh
Eric Jang
A. Irpan
Daniel Kappler
Murtaza Dalal
Sergey Levine
Mohi Khansari
Chelsea Finn
196
37
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
Learning to Walk in the Real World with Minimal Human Effort
Conference on Robot Learning (CoRL), 2020
Sehoon Ha
P. Xu
Zhenyu Tan
Sergey Levine
Jie Tan
368
195
0
20 Feb 2020
Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning
International Conference on Learning Representations (ICLR), 2020
Noah Y. Siegel
Jost Tobias Springenberg
Felix Berkenkamp
A. Abdolmaleki
Michael Neunert
Thomas Lampe
Agrim Gupta
Nicolas Heess
Martin Riedmiller
OffRL
231
292
0
19 Feb 2020
Inner Attention Supported Adaptive Cooperation for Heterogeneous Multi Robots Teaming based on Multi-agent Reinforcement Learning
Chao Huang
Rui Liu
256
2
0
12 Feb 2020
Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits
Neural Information Processing Systems (NeurIPS), 2020
Jack Parker-Holder
Vu Nguyen
Stephen J. Roberts
OffRL
447
95
0
06 Feb 2020
Soft Hindsight Experience Replay
Qiwei He
Liansheng Zhuang
Houqiang Li
154
13
0
06 Feb 2020
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
Jianyu Chen
Shengbo Eben Li
Masayoshi Tomizuka
297
294
0
23 Jan 2020
Q-Learning in enormous action spaces via amortized approximate maximization
T. Wiele
David Warde-Farley
A. Mnih
Volodymyr Mnih
133
63
0
22 Jan 2020
Robotic Grasp Manipulation Using Evolutionary Computing and Deep Reinforcement Learning
Intelligent Service Robotics (ISR), 2020
Priya Shukla
Hitesh Kumar
G. C. Nandi
69
23
0
15 Jan 2020
DGCM-Net: Dense Geometrical Correspondence Matching Network for Incremental Experience-based Robotic Grasping
Frontiers in Robotics and AI (Front. Robot. AI), 2020
T. Patten
Kiru Park
Markus Vincze
247
35
0
15 Jan 2020
Zero-Shot Reinforcement Learning with Deep Attention Convolutional Neural Networks
Sahika Genc
S. Mallya
S. Bodapati
Tao Sun
Yunzhe Tao
141
6
0
02 Jan 2020
Reward-Conditioned Policies
Aviral Kumar
Xue Bin Peng
Sergey Levine
205
101
0
31 Dec 2019
A Billion Ways to Grasp: An Evaluation of Grasp Sampling Schemes on a Dense, Physics-based Grasp Data Set
International Symposium of Robotics Research (ISRR), 2019
Clemens Eppner
Arsalan Mousavian
Dieter Fox
207
81
0
11 Dec 2019
A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation
International Conference on Machine Learning (ICML), 2019
Pan Xu
Quanquan Gu
220
76
0
10 Dec 2019
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos
Laura M. Smith
Nikita Dhawan
Marvin Zhang
Pieter Abbeel
Sergey Levine
346
166
0
10 Dec 2019
Grasping in the Wild:Learning 6DoF Closed-Loop Grasping from Low-Cost Demonstrations
IEEE Robotics and Automation Letters (RA-L), 2019
Shuran Song
Andy Zeng
Johnny Lee
Thomas Funkhouser
331
256
0
09 Dec 2019
The problem with DDPG: understanding failures in deterministic environments with sparse rewards
International Conference on Artificial Neural Networks (ICANN), 2019
Guillaume Matheron
Nicolas Perrin
Olivier Sigaud
115
71
0
26 Nov 2019
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data
IEEE International Conference on Robotics and Automation (ICRA), 2019
Ajay Mandlekar
Fabio Ramos
Byron Boots
Silvio Savarese
Li Fei-Fei
Animesh Garg
Dieter Fox
OffRL
255
133
0
13 Nov 2019
The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design
J. Dean
156
84
0
13 Nov 2019
Robo-PlaNet: Learning to Poke in a Day
Maxime Chevalier-Boisvert
Guillaume Alain
Florian Golemo
Derek Nowrouzezahrai
104
2
0
09 Nov 2019
Learning to Scaffold the Development of Robotic Manipulation Skills
IEEE International Conference on Robotics and Automation (ICRA), 2019
Lin Shao
Toki Migimatsu
Jeannette Bohg
393
32
0
03 Nov 2019
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation
Neural Information Processing Systems (NeurIPS), 2019
Risto Vuorio
Shao-Hua Sun
Hexiang Hu
Joseph J. Lim
188
242
0
30 Oct 2019
Entity Abstraction in Visual Model-Based Reinforcement Learning
Conference on Robot Learning (CoRL), 2019
Rishi Veerapaneni
John D. Co-Reyes
Michael Chang
Michael Janner
Chelsea Finn
Jiajun Wu
J. Tenenbaum
Sergey Levine
OCL
OffRL
441
198
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28 Oct 2019
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning
Conference on Robot Learning (CoRL), 2019
Abhishek Gupta
Vikash Kumar
Corey Lynch
Sergey Levine
Karol Hausman
373
510
0
25 Oct 2019
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