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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
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
223
10
0
05 Oct 2021
Improved Reinforcement Learning Coordinated Control of a Mobile
  Manipulator using Joint Clamping
Improved Reinforcement Learning Coordinated Control of a Mobile Manipulator using Joint Clamping
Denis Hadjivelichkov
K. Vlachos
Dimitrios Kanoulas
240
1
0
05 Oct 2021
Precise Object Placement with Pose Distance Estimations for Different
  Objects and Grippers
Precise Object Placement with Pose Distance Estimations for Different Objects and Grippers
Kilian Kleeberger
Jonathan Schnitzler
Muhammad Usman Khalid
Richard Bormann
Werner Kraus
Marco F. Huber
174
5
0
03 Oct 2021
Mobile Manipulation Leveraging Multiple Views
Mobile Manipulation Leveraging Multiple Views
David Watkins-Valls
Peter K. Allen
H. Maia
Madhavan Seshadri
Jonathan Sanabria
Nicholas R. Waytowich
Jacob Varley
183
7
0
02 Oct 2021
Sim and Real: Better Together
Sim and Real: Better Together
Shirli Di-Castro Shashua
Dotan DiCastro
Shie Mannor
236
12
0
01 Oct 2021
On the Estimation Bias in Double Q-Learning
On the Estimation Bias in Double Q-Learning
Zhizhou Ren
Guangxiang Zhu
Haotian Hu
Beining Han
Jian-Hai Chen
Chongjie Zhang
263
27
0
29 Sep 2021
Improving Safety in Deep Reinforcement Learning using Unsupervised
  Action Planning
Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning
Hao-Lun Hsu
Qiuhua Huang
Sehoon Ha
OffRL
202
13
0
29 Sep 2021
Learning Dynamics Models for Model Predictive Agents
Learning Dynamics Models for Model Predictive Agents
M. Lutter
Leonard Hasenclever
Arunkumar Byravan
Gabriel Dulac-Arnold
Piotr Trochim
N. Heess
J. Merel
Yuval Tassa
AI4CE
214
30
0
29 Sep 2021
Simulation-based Bayesian inference for multi-fingered robotic grasping
Simulation-based Bayesian inference for multi-fingered robotic grasping
Norman Marlier
O. Bruls
Gilles Louppe
211
6
0
29 Sep 2021
Lyapunov-stable neural-network control
Lyapunov-stable neural-network control
Hongkai Dai
Benoit Landry
Lujie Yang
Marco Pavone
Russ Tedrake
220
151
0
29 Sep 2021
Learning Periodic Tasks from Human Demonstrations
Learning Periodic Tasks from Human Demonstrations
Jingyun Yang
Junwu Zhang
Connor Settle
Akshara Rai
Rika Antonova
Jeannette Bohg
268
32
0
28 Sep 2021
Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain
  Datasets
Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets
F. Ebert
Yanlai Yang
Karl Schmeckpeper
Bernadette Bucher
G. Georgakis
Kostas Daniilidis
Chelsea Finn
Sergey Levine
474
299
0
27 Sep 2021
CLIPort: What and Where Pathways for Robotic Manipulation
CLIPort: What and Where Pathways for Robotic ManipulationConference on Robot Learning (CoRL), 2021
Mohit Shridhar
Lucas Manuelli
Dieter Fox
LM&Ro
344
819
0
24 Sep 2021
A Workflow for Offline Model-Free Robotic Reinforcement Learning
A Workflow for Offline Model-Free Robotic Reinforcement LearningConference on Robot Learning (CoRL), 2021
Aviral Kumar
Anika Singh
Stephen Tian
Chelsea Finn
Sergey Levine
OffRL
310
91
0
22 Sep 2021
Example-Driven Model-Based Reinforcement Learning for Solving
  Long-Horizon Visuomotor Tasks
Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks
Bohan Wu
Suraj Nair
Li Fei-Fei
Chelsea Finn
OffRLLM&Ro
291
25
0
21 Sep 2021
Lifelong Robotic Reinforcement Learning by Retaining Experiences
Lifelong Robotic Reinforcement Learning by Retaining Experiences
Annie Xie
Chelsea Finn
OffRLCLL
275
51
0
19 Sep 2021
Carl-Lead: Lidar-based End-to-End Autonomous Driving with Contrastive
  Deep Reinforcement Learning
Carl-Lead: Lidar-based End-to-End Autonomous Driving with Contrastive Deep Reinforcement Learning
Peide Cai
Sukai Wang
Hengli Wang
Ming-Yuan Liu
AI4TS
233
20
0
17 Sep 2021
ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive
  Imitation Learning
ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning
Ryan Hoque
Ashwin Balakrishna
Ellen R. Novoseller
Albert Wilcox
Daniel S. Brown
Ken Goldberg
319
101
0
17 Sep 2021
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
Tianhe Yu
Aviral Kumar
Yevgen Chebotar
Karol Hausman
Sergey Levine
Chelsea Finn
OffRL
210
86
0
16 Sep 2021
Multi-Task Learning with Sequence-Conditioned Transporter Networks
Multi-Task Learning with Sequence-Conditioned Transporter Networks
M. H. Lim
Andy Zeng
Brian Ichter
Maryam Bandari
Erwin Coumans
Claire Tomlin
S. Schaal
Aleksandra Faust
186
17
0
15 Sep 2021
DROMO: Distributionally Robust Offline Model-based Policy Optimization
DROMO: Distributionally Robust Offline Model-based Policy Optimization
Ruizhen Liu
Dazhi Zhong
Zhi-Cong Chen
OffRL
168
3
0
15 Sep 2021
AutoSoC: Automating Algorithm-SOC Co-design for Aerial Robots
AutoSoC: Automating Algorithm-SOC Co-design for Aerial Robots
Srivatsan Krishnan
Thierry Tambe
Zishen Wan
Vijay Janapa Reddi
146
10
0
13 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
345
21
0
07 Sep 2021
Implicit Behavioral Cloning
Implicit Behavioral CloningConference on Robot Learning (CoRL), 2021
Peter R. Florence
Corey Lynch
Andy Zeng
Oscar Ramirez
Ayzaan Wahid
Laura Downs
Adrian S. Wong
Johnny Lee
Igor Mordatch
Jonathan Tompson
OffRL
503
539
0
01 Sep 2021
Investigating Vulnerabilities of Deep Neural Policies
Investigating Vulnerabilities of Deep Neural PoliciesConference on Uncertainty in Artificial Intelligence (UAI), 2021
Ezgi Korkmaz
AAML
153
38
0
30 Aug 2021
Optimal Actor-Critic Policy with Optimized Training Datasets
Optimal Actor-Critic Policy with Optimized Training Datasets
C. Banerjee
Zhiyong Chen
N. Noman
M. Zamani
OffRL
220
9
0
16 Aug 2021
Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration
Co-GAIL: Learning Diverse Strategies for Human-Robot CollaborationConference on Robot Learning (CoRL), 2021
Chen Wang
Claudia Pérez-DÁrpino
Danfei Xu
Li Fei-Fei
Chenxi Liu
Silvio Savarese
329
41
0
13 Aug 2021
Skill Preferences: Learning to Extract and Execute Robotic Skills from
  Human Feedback
Skill Preferences: Learning to Extract and Execute Robotic Skills from Human FeedbackConference on Robot Learning (CoRL), 2021
Xiaofei Wang
Kimin Lee
Kourosh Hakhamaneshi
Pieter Abbeel
Michael Laskin
225
48
0
11 Aug 2021
OHPL: One-shot Hand-eye Policy Learner
OHPL: One-shot Hand-eye Policy LearnerIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Changjae Oh
Yik Lung Pang
Andrea Cavallaro
122
2
0
06 Aug 2021
ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale
  Demonstrations
ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations
Tongzhou Mu
Z. Ling
Fanbo Xiang
Derek Yang
Xuanlin Li
Stone Tao
Zhiao Huang
Zhiwei Jia
Hao Su
545
181
0
30 Jul 2021
Lyapunov-based uncertainty-aware safe reinforcement learning
Lyapunov-based uncertainty-aware safe reinforcement learning
Ashkan B. Jeddi
Nariman L. Dehghani
A. Shafieezadeh
147
10
0
29 Jul 2021
Fully Autonomous Real-World Reinforcement Learning with Applications to
  Mobile Manipulation
Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile ManipulationConference on Robot Learning (CoRL), 2021
Charles Sun
Jkedrzej Orbik
Coline Devin
Brian Yang
Abhishek Gupta
Glen Berseth
Sergey Levine
SSL
291
67
0
28 Jul 2021
Autonomous Reinforcement Learning via Subgoal Curricula
Autonomous Reinforcement Learning via Subgoal CurriculaNeural Information Processing Systems (NeurIPS), 2021
Archit Sharma
Abhishek Gupta
Sergey Levine
Karol Hausman
Chelsea Finn
246
32
0
27 Jul 2021
Model Selection for Offline Reinforcement Learning: Practical
  Considerations for Healthcare Settings
Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare SettingsMachine Learning in Health Care (MLHC), 2021
Shengpu Tang
Jenna Wiens
OffRL
182
90
0
23 Jul 2021
Playful Interactions for Representation Learning
Playful Interactions for Representation LearningIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Sarah Young
Jyothish Pari
Pieter Abbeel
Lerrel Pinto
SSL
182
15
0
19 Jul 2021
Ab Initio Particle-based Object Manipulation
Ab Initio Particle-based Object Manipulation
Siwei Chen
Xiao Ma
Yunfan Lu
David Hsu
LM&Ro
127
11
0
19 Jul 2021
Greedification Operators for Policy Optimization: Investigating Forward
  and Reverse KL Divergences
Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL DivergencesJournal of machine learning research (JMLR), 2021
Alan Chan
Hugo Silva
Sungsu Lim
Tadashi Kozuno
A. R. Mahmood
Martha White
242
41
0
17 Jul 2021
Model-free Reinforcement Learning for Robust Locomotion using
  Demonstrations from Trajectory Optimization
Model-free Reinforcement Learning for Robust Locomotion using Demonstrations from Trajectory OptimizationFrontiers in Robotics and AI (Front. Robot. AI), 2021
Miroslav Bogdanovic
Majid Khadiv
Ludovic Righetti
371
40
0
14 Jul 2021
Hierarchical Neural Dynamic Policies
Hierarchical Neural Dynamic Policies
Shikhar Bahl
Abhinav Gupta
Deepak Pathak
BDL
200
30
0
12 Jul 2021
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of
  Sparse Reward Iterative Tasks
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative TasksConference on Robot Learning (CoRL), 2021
Albert Wilcox
Ashwin Balakrishna
Brijen Thananjeyan
Joseph E. Gonzalez
Ken Goldberg
247
13
0
10 Jul 2021
Aligning an optical interferometer with beam divergence control and
  continuous action space
Aligning an optical interferometer with beam divergence control and continuous action spaceConference on Robot Learning (CoRL), 2021
Stepan Makarenko
Dmitry Sorokin
Alexander Ulanov
A. Lvovsky
AI4CE
121
4
0
09 Jul 2021
Adaptation of Quadruped Robot Locomotion with Meta-Learning
Adaptation of Quadruped Robot Locomotion with Meta-Learning
A. Kuzhamuratov
Dmitry Sorokin
Alexander Ulanov
A. Lvovsky
125
1
0
08 Jul 2021
RRL: Resnet as representation for Reinforcement Learning
RRL: Resnet as representation for Reinforcement LearningInternational Conference on Machine Learning (ICML), 2021
Rutav Shah
Vikash Kumar
OffRL
385
123
0
07 Jul 2021
Learning a Generative Transition Model for Uncertainty-Aware Robotic
  Manipulation
Learning a Generative Transition Model for Uncertainty-Aware Robotic Manipulation
Lars Berscheid
Pascal Meissner
Torsten Kröger
107
3
0
06 Jul 2021
Fast-Learning Grasping and Pre-Grasping via Clutter Quantization and
  Q-map Masking
Fast-Learning Grasping and Pre-Grasping via Clutter Quantization and Q-map Masking
Dafa Ren
Xiaoqiang Ren
Xiaofan Wang
Sundara Tejaswi Digumarti
Guodong Shi
90
12
0
06 Jul 2021
Hierarchical Policies for Cluttered-Scene Grasping with Latent Plans
Hierarchical Policies for Cluttered-Scene Grasping with Latent Plans
Lirui Wang
Xiangyun Meng
Yu Xiang
Dieter Fox
3DPCDRL
306
29
0
04 Jul 2021
Learning to See before Learning to Act: Visual Pre-training for
  Manipulation
Learning to See before Learning to Act: Visual Pre-training for Manipulation
Yen-Chen Lin
Andy Zeng
Shuran Song
Phillip Isola
Nayeon Lee
SSL
251
100
0
01 Jul 2021
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under
  Data Augmentation
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation
Nicklas Hansen
H. Su
Xiaolong Wang
OffRL
378
161
0
01 Jul 2021
Offline-to-Online Reinforcement Learning via Balanced Replay and
  Pessimistic Q-Ensemble
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble
Seunghyun Lee
Younggyo Seo
Kimin Lee
Pieter Abbeel
Jinwoo Shin
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257
248
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SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic
  Data via Stereo
SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via StereoConference on Robot Learning (CoRL), 2021
Thomas Kollar
Michael Laskey
Kevin Stone
Brijen Thananjeyan
Mark Tjersland
266
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0
30 Jun 2021
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