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QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic
  Manipulation
v1v2v3 (latest)

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
ArXiv (abs)PDFHTML

Papers citing "QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation"

50 / 941 papers shown
Batch Exploration with Examples for Scalable Robotic Reinforcement
  Learning
Batch Exploration with Examples for Scalable Robotic Reinforcement Learning
Annie S. Chen
H. Nam
Suraj Nair
Chelsea Finn
OffRL
192
27
0
22 Oct 2020
Iterative Amortized Policy Optimization
Iterative Amortized Policy OptimizationNeural Information Processing Systems (NeurIPS), 2020
Joseph Marino
Alexandre Piché
Alessandro Davide Ialongo
Yisong Yue
OffRL
256
23
0
20 Oct 2020
D2RL: Deep Dense Architectures in Reinforcement Learning
D2RL: Deep Dense Architectures in Reinforcement Learning
Samarth Sinha
Homanga Bharadhwaj
A. Srinivas
Animesh Garg
OffRLAI4CE
267
61
0
19 Oct 2020
Measuring Visual Generalization in Continuous Control from Pixels
Measuring Visual Generalization in Continuous Control from Pixels
J. E. Grigsby
Yanjun Qi
190
26
0
13 Oct 2020
EpidemiOptim: A Toolbox for the Optimization of Control Policies in
  Epidemiological Models
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological ModelsJournal of Artificial Intelligence Research (JAIR), 2020
Cédric Colas
B. Hejblum
S. Rouillon
R. Thiébaut
Pierre-Yves Oudeyer
Clément Moulin-Frier
M. Prague
123
25
0
09 Oct 2020
Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds
Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point CloudsConference on Robot Learning (CoRL), 2020
Lirui Wang
Yu Xiang
Wei Yang
Arsalan Mousavian
Dieter Fox
3DPC
479
57
0
02 Oct 2020
Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent
  Control
Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent ControlInternational Conference on Distributed Artificial Intelligence (DAI), 2020
Qingrui Zhang
Hao Dong
Wei Pan
124
8
0
20 Sep 2020
GRAC: Self-Guided and Self-Regularized Actor-Critic
GRAC: Self-Guided and Self-Regularized Actor-CriticConference on Robot Learning (CoRL), 2020
Lin Shao
Yifan You
Mengyuan Yan
Qingyun Sun
Jeannette Bohg
266
30
0
18 Sep 2020
Decoupling Representation Learning from Reinforcement Learning
Decoupling Representation Learning from Reinforcement LearningInternational Conference on Machine Learning (ICML), 2020
Adam Stooke
Kimin Lee
Pieter Abbeel
Michael Laskin
SSLDRL
702
374
0
14 Sep 2020
Learning Topological Motion Primitives for Knot Planning
Learning Topological Motion Primitives for Knot PlanningIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Mengyuan Yan
Gen Li
Yilin Zhu
Jeannette Bohg
159
15
0
05 Sep 2020
Learning Dexterous Grasping with Object-Centric Visual Affordances
Learning Dexterous Grasping with Object-Centric Visual AffordancesIEEE International Conference on Robotics and Automation (ICRA), 2020
Priyanka Mandikal
Kristen Grauman
351
158
0
03 Sep 2020
Grasp-type Recognition Leveraging Object Affordance
Grasp-type Recognition Leveraging Object Affordance
Naoki Wake
Kazuhiro Sasabuchi
Katsushi Ikeuchi
92
15
0
26 Aug 2020
Learning Off-Policy with Online Planning
Learning Off-Policy with Online Planning
Harshit S. Sikchi
Wenxuan Zhou
David Held
OffRL
524
57
0
23 Aug 2020
ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for
  Mobile Manipulation
ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation
Fei Xia
Chengshu Li
Roberto Martín-Martín
Or Litany
Alexander Toshev
Silvio Savarese
259
87
0
18 Aug 2020
Explainability in Deep Reinforcement Learning
Explainability in Deep Reinforcement Learning
Alexandre Heuillet
Fabien Couthouis
Natalia Díaz Rodríguez
XAI
848
317
0
15 Aug 2020
Visuomotor Mechanical Search: Learning to Retrieve Target Objects in
  Clutter
Visuomotor Mechanical Search: Learning to Retrieve Target Objects in Clutter
Andrey Kurenkov
Joseph C. Taglic
Rohun Kulkarni
Marcus Dominguez-Kuhne
Animesh Garg
Roberto Martín-Martín
Silvio Savarese
185
49
0
13 Aug 2020
GRIMGEP: Learning Progress for Robust Goal Sampling in Visual Deep
  Reinforcement Learning
GRIMGEP: Learning Progress for Robust Goal Sampling in Visual Deep Reinforcement LearningIEEE Transactions on Cognitive and Developmental Systems (TCDS), 2020
Grgur Kovač
A. Laversanne-Finot
Pierre-Yves Oudeyer
238
12
0
10 Aug 2020
The Importance and the Limitations of Sim2Real for Robotic Manipulation
  in Precision Agriculture
The Importance and the Limitations of Sim2Real for Robotic Manipulation in Precision Agriculture
Carlo Rizzardo
S. Katyara
Miguel Fernandes
Fei Chen
112
6
0
10 Aug 2020
A Learning-from-Observation Framework: One-Shot Robot Teaching for
  Grasp-Manipulation-Release Household Operations
A Learning-from-Observation Framework: One-Shot Robot Teaching for Grasp-Manipulation-Release Household Operations
Naoki Wake
Riku Arakawa
Iori Yanokura
Takuya Kiyokawa
Kazuhiro Sasabuchi
Jun Takamatsu
Katsushi Ikeuchi
253
37
0
04 Aug 2020
Data-efficient visuomotor policy training using reinforcement learning
  and generative models
Data-efficient visuomotor policy training using reinforcement learning and generative models
Ali Ghadirzadeh
Petra Poklukar
Ville Kyrki
Danica Kragic
Mårten Björkman
OffRL
214
9
0
26 Jul 2020
Maximum Mutation Reinforcement Learning for Scalable Control
Maximum Mutation Reinforcement Learning for Scalable Control
Karush Suri
Xiaolong Shi
Konstantinos N. Plataniotis
Y. Lawryshyn
300
4
0
24 Jul 2020
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline
  and Online RL
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL
Seyed Kamyar Seyed Ghasemipour
Dale Schuurmans
S. Gu
OffRL
508
134
0
21 Jul 2020
Distributed Reinforcement Learning of Targeted Grasping with Active
  Vision for Mobile Manipulators
Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile ManipulatorsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Yasuhiro Fujita
Kota Uenishi
Avinash Ummadisingu
P. Nagarajan
Shimpei Masuda
M. Castro
261
19
0
16 Jul 2020
Goal-Aware Prediction: Learning to Model What Matters
Goal-Aware Prediction: Learning to Model What MattersInternational Conference on Machine Learning (ICML), 2020
Suraj Nair
Silvio Savarese
Chelsea Finn
198
69
0
14 Jul 2020
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep
  Reinforcement Learning
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement LearningInternational Conference on Machine Learning (ICML), 2020
Kimin Lee
Michael Laskin
A. Srinivas
Pieter Abbeel
OffRL
375
226
0
09 Jul 2020
Robotic Grasping using Deep Reinforcement Learning
Robotic Grasping using Deep Reinforcement Learning
Shirin Joshi
Sulabh Kumra
F. Sahin
195
100
0
09 Jul 2020
Self-Supervised Policy Adaptation during Deployment
Self-Supervised Policy Adaptation during DeploymentInternational Conference on Learning Representations (ICLR), 2020
Nicklas Hansen
Rishabh Jangir
Yu Sun
Guillem Alenyà
Pieter Abbeel
Alexei A. Efros
Lerrel Pinto
Xiaolong Wang
253
182
0
08 Jul 2020
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural
  Networks with Replay Processes
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes
Timothée Lesort
CLL
369
24
0
01 Jul 2020
RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning
RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning
Çağlar Gülçehre
Ziyun Wang
Alexander Novikov
T. Paine
Sergio Gomez Colmenarejo
...
Matthew W. Hoffman
Ofir Nachum
George Tucker
N. Heess
Nando de Freitas
OffRL
408
73
0
24 Jun 2020
Forgetful Experience Replay in Hierarchical Reinforcement Learning from
  Demonstrations
Forgetful Experience Replay in Hierarchical Reinforcement Learning from Demonstrations
Alexey Skrynnik
A. Staroverov
Ermek Aitygulov
Kirill Aksenov
Vasilii Davydov
Aleksandr I. Panov
OffRL
154
4
0
17 Jun 2020
RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real
RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real
Kanishka Rao
Chris Harris
A. Irpan
Sergey Levine
Julian Ibarz
Mohi Khansari
301
215
0
16 Jun 2020
Depth by Poking: Learning to Estimate Depth from Self-Supervised
  Grasping
Depth by Poking: Learning to Estimate Depth from Self-Supervised Grasping
Ben Goodrich
Alex Kuefler
William D. Richards
SSL
184
6
0
16 Jun 2020
Self-supervised Learning for Precise Pick-and-place without Object Model
Self-supervised Learning for Precise Pick-and-place without Object Model
Lars Berscheid
Pascal Meissner
Torsten Kröger
SSLDRL
154
70
0
15 Jun 2020
Learning to Play by Imitating Humans
Learning to Play by Imitating Humans
R. Dinyari
P. Sermanet
Corey Lynch
SSLOffRL
185
5
0
11 Jun 2020
Modeling Long-horizon Tasks as Sequential Interaction Landscapes
Modeling Long-horizon Tasks as Sequential Interaction Landscapes
Soren Pirk
Karol Hausman
Alexander Toshev
Mohi Khansari
279
28
0
08 Jun 2020
Conservative Q-Learning for Offline Reinforcement Learning
Conservative Q-Learning for Offline Reinforcement Learning
Aviral Kumar
Aurick Zhou
George Tucker
Sergey Levine
OffRLOnRL
439
2,214
0
08 Jun 2020
Multi-Fingered Active Grasp Learning
Multi-Fingered Active Grasp Learning
Qingkai Lu
Mark Van der Merwe
Tucker Hermans
195
37
0
06 Jun 2020
Deployment-Efficient Reinforcement Learning via Model-Based Offline
  Optimization
Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization
T. Matsushima
Hiroki Furuta
Y. Matsuo
Ofir Nachum
S. Gu
OffRL
297
161
0
05 Jun 2020
Interferobot: aligning an optical interferometer by a reinforcement
  learning agent
Interferobot: aligning an optical interferometer by a reinforcement learning agentNeural Information Processing Systems (NeurIPS), 2020
Dmitry Sorokin
Alexander Ulanov
E. A. Sazhina
A. Lvovsky
208
17
0
03 Jun 2020
TrueÆdapt: Learning Smooth Online Trajectory Adaptation with Bounded
  Jerk, Acceleration and Velocity in Joint Space
TrueÆdapt: Learning Smooth Online Trajectory Adaptation with Bounded Jerk, Acceleration and Velocity in Joint Space
Jonas C. Kiemel
Robin Weitemeyer
Pascal Meissner
Torsten Kröger
TTA
169
3
0
30 May 2020
Multi-modal Transfer Learning for Grasping Transparent and Specular
  Objects
Multi-modal Transfer Learning for Grasping Transparent and Specular ObjectsIEEE Robotics and Automation Letters (RA-L), 2020
Thomas Weng
Amith Pallankize
Yimin Tang
Oliver Kroemer
David Held
168
37
0
29 May 2020
LyRN (Lyapunov Reaching Network): A Real-Time Closed Loop approach from
  Monocular Vision
LyRN (Lyapunov Reaching Network): A Real-Time Closed Loop approach from Monocular VisionIEEE International Conference on Robotics and Automation (ICRA), 2020
Zheyu Zhuang
Xin Yu
Robert E. Mahony
219
7
0
25 May 2020
Learning visual servo policies via planner cloning
Learning visual servo policies via planner cloning
Ulrich Viereck
Kate Saenko
Robert Platt
OffRL
110
2
0
24 May 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
113
11
0
15 May 2020
Language Conditioned Imitation Learning over Unstructured Data
Language Conditioned Imitation Learning over Unstructured Data
Corey Lynch
P. Sermanet
LM&Ro
320
282
0
15 May 2020
Action Image Representation: Learning Scalable Deep Grasping Policies
  with Zero Real World Data
Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data
Mohi Khansari
Daniel Kappler
Jianlan Luo
Jeff Bingham
Mrinal Kalakrishnan
162
26
0
13 May 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRLGP
1.0K
2,356
0
04 May 2020
Reinforcement Learning with Augmented Data
Reinforcement Learning with Augmented DataNeural Information Processing Systems (NeurIPS), 2020
Michael Laskin
Kimin Lee
Adam Stooke
Lerrel Pinto
Pieter Abbeel
A. Srinivas
OffRL
497
733
0
30 Apr 2020
Image Augmentation Is All You Need: Regularizing Deep Reinforcement
  Learning from Pixels
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from PixelsInternational Conference on Learning Representations (ICLR), 2020
Ilya Kostrikov
Denis Yarats
Rob Fergus
OffRL
480
877
0
28 Apr 2020
Emergent Real-World Robotic Skills via Unsupervised Off-Policy
  Reinforcement Learning
Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning
Archit Sharma
Michael Ahn
Sergey Levine
Vikash Kumar
Karol Hausman
S. Gu
SSLOffRL
130
54
0
27 Apr 2020
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