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End-to-End Training of Deep Visuomotor Policies

End-to-End Training of Deep Visuomotor Policies

2 April 2015
Sergey Levine
Chelsea Finn
Trevor Darrell
Pieter Abbeel
    BDL
ArXivPDFHTML

Papers citing "End-to-End Training of Deep Visuomotor Policies"

50 / 922 papers shown
Title
Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels
Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels
Sai Rajeswar
Pietro Mazzaglia
Tim Verbelen
Alexandre Piché
Bart Dhoedt
Rameswar Panda
Alexandre Lacoste
SSL
33
21
0
24 Sep 2022
Modern Machine Learning Tools for Monitoring and Control of Industrial
  Processes: A Survey
Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey
R. Bhushan Gopaluni
Aditya Tulsyan
Benoît Chachuat
Biao Huang
J. M. Lee
Faraz Amjad
S. Damarla
Jong Woo Kim
Nathan P. Lawrence
AI4CE
26
38
0
22 Sep 2022
On the Convergence Theory of Meta Reinforcement Learning with
  Personalized Policies
On the Convergence Theory of Meta Reinforcement Learning with Personalized Policies
Haozhi Wang
Qing Wang
Yunfeng Shao
Dong Li
Jianye Hao
Yinchuan Li
36
0
0
21 Sep 2022
Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation
Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation
Mohit Shridhar
Lucas Manuelli
Dieter Fox
LM&Ro
175
468
0
12 Sep 2022
When Bioprocess Engineering Meets Machine Learning: A Survey from the
  Perspective of Automated Bioprocess Development
When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development
Nghia Duong-Trung
Stefan Born
Jong Woo Kim
M. Schermeyer
Katharina Paulick
...
Thorben Werner
Randolf Scholz
Lars Schmidt-Thieme
Peter Neubauer
Ernesto Martinez
39
20
0
02 Sep 2022
Sim-to-Real Transfer of Robotic Assembly with Visual Inputs Using
  CycleGAN and Force Control
Sim-to-Real Transfer of Robotic Assembly with Visual Inputs Using CycleGAN and Force Control
C. Yuan
Yunlei Shi
Qian Feng
Chunyang Chang
Zhaopeng Chen
Alois C. Knoll
Jianwei Zhang
34
8
0
30 Aug 2022
Decentralized Coordination in Partially Observable Queueing Networks
Decentralized Coordination in Partially Observable Queueing Networks
Jiekai Jia
Anam Tahir
Heinz Koeppl
39
1
0
29 Aug 2022
DeepPicarMicro: Applying TinyML to Autonomous Cyber Physical Systems
DeepPicarMicro: Applying TinyML to Autonomous Cyber Physical Systems
Michael Bechtel
QiTao Weng
H. Yun
BDL
28
7
0
23 Aug 2022
Spectral Decomposition Representation for Reinforcement Learning
Spectral Decomposition Representation for Reinforcement Learning
Tongzheng Ren
Tianjun Zhang
Lisa Lee
Joseph E. Gonzalez
Dale Schuurmans
Bo Dai
OffRL
40
27
0
19 Aug 2022
Challenges in Applying Robotics to Retail Store Management
Challenges in Applying Robotics to Retail Store Management
Vartika Sengar
Aditya Kapoor
Nijil George
Vighnesh Vatsal
J. Gubbi
P. Balamuralidhar
Arpan Pal
30
4
0
18 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
Robot Policy Learning from Demonstration Using Advantage Weighting and
  Early Termination
Robot Policy Learning from Demonstration Using Advantage Weighting and Early Termination
A. Mohtasib
Gerhard Neumann
Heriberto Cuayáhuitl
OffRL
44
2
0
31 Jul 2022
GE-Grasp: Efficient Target-Oriented Grasping in Dense Clutter
GE-Grasp: Efficient Target-Oriented Grasping in Dense Clutter
Z. Liu
Ziwei Wang
Sichao Huang
Jie Zhou
Jiwen Lu
48
22
0
25 Jul 2022
Making Linear MDPs Practical via Contrastive Representation Learning
Making Linear MDPs Practical via Contrastive Representation Learning
Tianjun Zhang
Tongzheng Ren
Mengjiao Yang
Joseph E. Gonzalez
Dale Schuurmans
Bo Dai
25
44
0
14 Jul 2022
Compactly Restrictable Metric Policy Optimization Problems
Compactly Restrictable Metric Policy Optimization Problems
Victor D. Dorobantu
Kamyar Azizzadenesheli
Yisong Yue
13
0
0
12 Jul 2022
Deep Learning Approaches to Grasp Synthesis: A Review
Deep Learning Approaches to Grasp Synthesis: A Review
Rhys Newbury
Morris Gu
Lachlan Chumbley
Arsalan Mousavian
Clemens Eppner
...
A. Morales
Tamim Asfour
Danica Kragic
Dieter Fox
Akansel Cosgun
45
163
0
06 Jul 2022
Colonoscopy Navigation using End-to-End Deep Visuomotor Control: A User
  Study
Colonoscopy Navigation using End-to-End Deep Visuomotor Control: A User Study
Ameya Pore
M. Finocchiaro
Diego DallÁlba
A. Hernansanz
G. Ciuti
A. Arezzo
A. Menciassi
A. Casals
Paolo Fiorini
32
14
0
30 Jun 2022
Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement
  Learning
Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement Learning
Anthony Coache
S. Jaimungal
Á. Cartea
30
13
0
29 Jun 2022
Deep Active Visual Attention for Real-time Robot Motion Generation:
  Emergence of Tool-body Assimilation and Adaptive Tool-use
Deep Active Visual Attention for Real-time Robot Motion Generation: Emergence of Tool-body Assimilation and Adaptive Tool-use
Hyogo Hiruma
Hiroshi Ito
Hiroki Mori
Tetsuya Ogata
28
5
0
29 Jun 2022
Efficient and Robust Training of Dense Object Nets for Multi-Object
  Robot Manipulation
Efficient and Robust Training of Dense Object Nets for Multi-Object Robot Manipulation
David B. Adrian
A. Kupcsik
Markus Spies
Heiko Neumann
3DPC
56
7
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
53
101
0
19 Jun 2022
Optimal Dynamic Regret in LQR Control
Optimal Dynamic Regret in LQR Control
Dheeraj Baby
Yu Wang
29
16
0
18 Jun 2022
Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for
  End-to-End Visual Robotic Manipulation Learning
Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning
Hyunwoo Ryu
Jeong-Hoon Lee
Honglak Lee
Jongeun Choi
42
54
0
16 Jun 2022
Vision-State Fusion: Improving Deep Neural Networks for Autonomous
  Robotics
Vision-State Fusion: Improving Deep Neural Networks for Autonomous Robotics
Elia Cereda
Stefano Bonato
Mirko Nava
Alessandro Giusti
Daniele Palossi
21
3
0
13 Jun 2022
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation
  with Residual Actor
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor
Wanqi Xue
Qingpeng Cai
Ruohan Zhan
Dong Zheng
Peng Jiang
Kun Gai
Bo An
OffRL
38
24
0
01 Jun 2022
Play it by Ear: Learning Skills amidst Occlusion through Audio-Visual
  Imitation Learning
Play it by Ear: Learning Skills amidst Occlusion through Audio-Visual Imitation Learning
Maximilian Du
Olivia Y. Lee
Suraj Nair
Chelsea Finn
OffRL
62
33
0
30 May 2022
Penalized Proximal Policy Optimization for Safe Reinforcement Learning
Penalized Proximal Policy Optimization for Safe Reinforcement Learning
Linrui Zhang
Li Shen
Long Yang
Shi-Yong Chen
Bo Yuan
Xueqian Wang
Dacheng Tao
18
62
0
24 May 2022
Conditional Visual Servoing for Multi-Step Tasks
Conditional Visual Servoing for Multi-Step Tasks
Sergio Izquierdo
Max Argus
Thomas Brox
37
4
0
17 May 2022
Attacking and Defending Deep Reinforcement Learning Policies
Attacking and Defending Deep Reinforcement Learning Policies
Chao Wang
AAML
36
2
0
16 May 2022
Bridging Model-based Safety and Model-free Reinforcement Learning
  through System Identification of Low Dimensional Linear Models
Bridging Model-based Safety and Model-free Reinforcement Learning through System Identification of Low Dimensional Linear Models
Zhongyu Li
Jun Zeng
A. Thirugnanam
Koushil Sreenath
34
16
0
11 May 2022
Adversarial Training for High-Stakes Reliability
Adversarial Training for High-Stakes Reliability
Daniel M. Ziegler
Seraphina Nix
Lawrence Chan
Tim Bauman
Peter Schmidt-Nielsen
...
Noa Nabeshima
Benjamin Weinstein-Raun
D. Haas
Buck Shlegeris
Nate Thomas
AAML
43
59
0
03 May 2022
Training and Evaluation of Deep Policies using Reinforcement Learning
  and Generative Models
Training and Evaluation of Deep Policies using Reinforcement Learning and Generative Models
Ali Ghadirzadeh
Petra Poklukar
Karol Arndt
Chelsea Finn
Ville Kyrki
Danica Kragic
Mårten Björkman
OffRL
27
1
0
18 Apr 2022
Learning to Fill the Seam by Vision: Sub-millimeter Peg-in-hole on
  Unseen Shapes in Real World
Learning to Fill the Seam by Vision: Sub-millimeter Peg-in-hole on Unseen Shapes in Real World
Liang Xie
Hongxiang Yu
Yinghao Zhao
Haodong Zhang
Zhongxiang Zhou
Minhang Wang
Yue Wang
R. Xiong
22
9
0
16 Apr 2022
Independent Natural Policy Gradient Methods for Potential Games:
  Finite-time Global Convergence with Entropy Regularization
Independent Natural Policy Gradient Methods for Potential Games: Finite-time Global Convergence with Entropy Regularization
Shicong Cen
Fan Chen
Yuejie Chi
40
15
0
12 Apr 2022
Evaluating Vision Transformer Methods for Deep Reinforcement Learning
  from Pixels
Evaluating Vision Transformer Methods for Deep Reinforcement Learning from Pixels
Tianxin Tao
Daniele Reda
M. van de Panne
ViT
16
19
0
11 Apr 2022
Federated Reinforcement Learning with Environment Heterogeneity
Federated Reinforcement Learning with Environment Heterogeneity
Hao Jin
Yang Peng
Wenhao Yang
Shusen Wang
Zhihua Zhang
65
68
0
06 Apr 2022
Learning to Drive by Watching YouTube Videos: Action-Conditioned
  Contrastive Policy Pretraining
Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining
Qihang Zhang
Zhenghao Peng
Bolei Zhou
SSL
30
38
0
05 Apr 2022
Curiosity Driven Self-supervised Tactile Exploration of Unknown Objects
Curiosity Driven Self-supervised Tactile Exploration of Unknown Objects
Yujie Lu
Jianren Wang
Vikash Kumar
31
4
0
31 Mar 2022
Factored Adaptation for Non-Stationary Reinforcement Learning
Factored Adaptation for Non-Stationary Reinforcement Learning
Fan Feng
Erdun Gao
Kun Zhang
Sara Magliacane
CML
OffRL
49
32
0
30 Mar 2022
Deep Reinforcement Learning for Data-Driven Adaptive Scanning in
  Ptychography
Deep Reinforcement Learning for Data-Driven Adaptive Scanning in Ptychography
M. Schloz
Johannes Müller
T. Pekin
W. V. D. Broek
C. Koch
40
7
0
29 Mar 2022
Adaptive Risk-Tendency: Nano Drone Navigation in Cluttered Environments
  with Distributional Reinforcement Learning
Adaptive Risk-Tendency: Nano Drone Navigation in Cluttered Environments with Distributional Reinforcement Learning
Cheng Liu
E. Kampen
Guido de Croon
39
16
0
28 Mar 2022
Reinforcement Learning with Action-Free Pre-Training from Videos
Reinforcement Learning with Action-Free Pre-Training from Videos
Younggyo Seo
Kimin Lee
Stephen James
Pieter Abbeel
SSL
OnRL
23
119
0
25 Mar 2022
Bi-Manual Manipulation and Attachment via Sim-to-Real Reinforcement
  Learning
Bi-Manual Manipulation and Attachment via Sim-to-Real Reinforcement Learning
Satoshi Kataoka
Seyed Kamyar Seyed Ghasemipour
Daniel Freeman
Igor Mordatch
29
19
0
15 Mar 2022
Vision-Based Manipulators Need to Also See from Their Hands
Vision-Based Manipulators Need to Also See from Their Hands
Kyle Hsu
Moo Jin Kim
Rafael Rafailov
Jiajun Wu
Chelsea Finn
39
45
0
15 Mar 2022
RB2: Robotic Manipulation Benchmarking with a Twist
RB2: Robotic Manipulation Benchmarking with a Twist
Sudeep Dasari
Jianren Wang
Joyce Hong
Shikhar Bahl
Yixin Lin
...
David Held
Lerrel Pinto
Deepak Pathak
Vikash Kumar
Abhi Gupta
37
27
0
15 Mar 2022
Masked Visual Pre-training for Motor Control
Masked Visual Pre-training for Motor Control
Tete Xiao
Ilija Radosavovic
Trevor Darrell
Jitendra Malik
SSL
36
242
0
11 Mar 2022
Graph Neural Networks for Relational Inductive Bias in Vision-based Deep
  Reinforcement Learning of Robot Control
Graph Neural Networks for Relational Inductive Bias in Vision-based Deep Reinforcement Learning of Robot Control
Marco Oliva
Soubarna Banik
Josip Josifovski
Alois Knoll
37
5
0
11 Mar 2022
Investigation of Factorized Optical Flows as Mid-Level Representations
Investigation of Factorized Optical Flows as Mid-Level Representations
Hsuan-Kung Yang
Tsu-Ching Hsiao
Tingbo Liao
Hsu-Shen Liu
Li-Yuan Tsao
Tzu-Wen Wang
Shan Yang
Yu-Wen Chen
Huang-ru Liao
Chun-Yi Lee
35
3
0
09 Mar 2022
Multi-Agent Policy Transfer via Task Relationship Modeling
Multi-Agent Policy Transfer via Task Relationship Modeling
Rongjun Qin
F. Chen
Tonghan Wang
Lei Yuan
Xiaoran Wu
Zongzhang Zhang
Chongjie Zhang
Yang Yu
40
19
0
09 Mar 2022
Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement
  Learning
Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning
Hongpeng Cao
Mirco Theile
Federico G. Wyrwal
Marco Caccamo
48
6
0
04 Mar 2022
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