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End-to-End Training of Deep Visuomotor Policies
v1v2v3v4v5 (latest)

End-to-End Training of Deep Visuomotor Policies

2 April 2015
Sergey Levine
Chelsea Finn
Trevor Darrell
Pieter Abbeel
    BDL
ArXiv (abs)PDFHTML

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

50 / 1,177 papers shown
Title
Uncertainty-aware Safe Exploratory Planning using Gaussian Process and
  Neural Control Contraction Metric
Uncertainty-aware Safe Exploratory Planning using Gaussian Process and Neural Control Contraction Metric
Dawei Sun
M. J. Khojasteh
S. Shekhar
Chuchu Fan
62
2
0
13 May 2021
On Minimizing the Number of Running Buffers for Tabletop Rearrangement
On Minimizing the Number of Running Buffers for Tabletop Rearrangement
Kai-Xin Gao
S. Feng
Jingjin Yu
133
14
0
13 May 2021
Challenges and Outlook in Robotic Manipulation of Deformable Objects
Challenges and Outlook in Robotic Manipulation of Deformable Objects
Jihong Zhu
A. Cherubini
C. Dune
D. Navarro-Alarcon
Farshid Alambeigi
...
Jens Kober
Xiang-Yang Li
Jia Pan
Wenzhen Yuan
Michael Gienger
AI4CE
118
210
0
04 May 2021
Learning to drive from a world on rails
Learning to drive from a world on rails
Di Chen
V. Koltun
Philipp Krahenbuhl
191
122
0
03 May 2021
Learning Visually Guided Latent Actions for Assistive Teleoperation
Learning Visually Guided Latent Actions for Assistive Teleoperation
Siddharth Karamcheti
Albert J. Zhai
Dylan P. Losey
Dorsa Sadigh
103
23
0
02 May 2021
Seeing All the Angles: Learning Multiview Manipulation Policies for
  Contact-Rich Tasks from Demonstrations
Seeing All the Angles: Learning Multiview Manipulation Policies for Contact-Rich Tasks from Demonstrations
Trevor Ablett
Yifan Zhai
Jonathan Kelly
SSL
88
4
0
28 Apr 2021
Vision-based Driver Assistance Systems: Survey, Taxonomy and Advances
Vision-based Driver Assistance Systems: Survey, Taxonomy and Advances
Jonathan Horgan
Ciarán Hughes
J. McDonald
S. Yogamani
77
57
0
26 Apr 2021
Optimize Neural Fictitious Self-Play in Regret Minimization Thinking
Optimize Neural Fictitious Self-Play in Regret Minimization Thinking
Yuxuan Chen
Li Zhang
Shijian Li
Gang Pan
45
2
0
22 Apr 2021
End-to-End Interactive Prediction and Planning with Optical Flow
  Distillation for Autonomous Driving
End-to-End Interactive Prediction and Planning with Optical Flow Distillation for Autonomous Driving
Hengli Wang
Peide Cai
Rui Fan
Yuxiang Sun
Ming-Yuan Liu
83
23
0
18 Apr 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
Dmitry Kalashnikov
Jacob Varley
Yevgen Chebotar
Benjamin Swanson
Rico Jonschkowski
Chelsea Finn
Sergey Levine
Karol Hausman
OffRL
149
280
0
16 Apr 2021
Recurrent Equilibrium Networks: Flexible Dynamic Models with Guaranteed
  Stability and Robustness
Recurrent Equilibrium Networks: Flexible Dynamic Models with Guaranteed Stability and Robustness
Max Revay
Ruigang Wang
I. Manchester
77
61
0
13 Apr 2021
Learning to Reweight Imaginary Transitions for Model-Based Reinforcement
  Learning
Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning
Wenzhen Huang
Qiyue Yin
Junge Zhang
Kaiqi Huang
61
3
0
09 Apr 2021
Unsupervised Visual Attention and Invariance for Reinforcement Learning
Unsupervised Visual Attention and Invariance for Reinforcement Learning
Xudong Wang
Long Lian
Stella X. Yu
OOD
98
39
0
07 Apr 2021
SOON: Scenario Oriented Object Navigation with Graph-based Exploration
SOON: Scenario Oriented Object Navigation with Graph-based Exploration
Fengda Zhu
Xiwen Liang
Yi Zhu
Xiaojun Chang
Xiaodan Liang
79
127
0
31 Mar 2021
Learning Deep Energy Shaping Policies for Stability-Guaranteed
  Manipulation
Learning Deep Energy Shaping Policies for Stability-Guaranteed Manipulation
S. A. Khader
Hang Yin
Pietro Falco
Danica Kragic
58
13
0
30 Mar 2021
LASER: Learning a Latent Action Space for Efficient Reinforcement
  Learning
LASER: Learning a Latent Action Space for Efficient Reinforcement Learning
Arthur Allshire
Roberto Martín-Martín
Charles Lin
Shawn Manuel
Silvio Savarese
Animesh Garg
84
57
0
29 Mar 2021
Visionary: Vision architecture discovery for robot learning
Visionary: Vision architecture discovery for robot learning
Iretiayo Akinola
A. Angelova
Yao Lu
Yevgen Chebotar
Dmitry Kalashnikov
Jacob Varley
Julian Ibarz
Michael S. Ryoo
72
10
0
26 Mar 2021
OmniHang: Learning to Hang Arbitrary Objects using Contact Point
  Correspondences and Neural Collision Estimation
OmniHang: Learning to Hang Arbitrary Objects using Contact Point Correspondences and Neural Collision Estimation
Yifan You
Lin Shao
Toki Migimatsu
Jeannette Bohg
74
18
0
26 Mar 2021
Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with
  Deep Reinforcement Learning
Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning
A. S. Morgan
Daljeet Nandha
Georgia Chalvatzaki
Carlo DÉramo
A. Dollar
Jan Peters
96
44
0
25 Mar 2021
Discriminator Augmented Model-Based Reinforcement Learning
Discriminator Augmented Model-Based Reinforcement Learning
Behzad Haghgoo
Allan Zhou
Archit Sharma
Chelsea Finn
OffRL
67
3
0
24 Mar 2021
Deconvolution-and-convolution Networks
Deconvolution-and-convolution Networks
Yimin Yang
Wandong Zhang
Jonathan Wu
Will Zhao
Ao Chen
37
8
0
22 Mar 2021
Introspective Visuomotor Control: Exploiting Uncertainty in Deep
  Visuomotor Control for Failure Recovery
Introspective Visuomotor Control: Exploiting Uncertainty in Deep Visuomotor Control for Failure Recovery
Chia-Man Hung
Li Sun
Yizhe Wu
Ioannis Havoutis
Ingmar Posner
40
5
0
22 Mar 2021
Unsupervised Feature Learning for Manipulation with Contrastive Domain
  Randomization
Unsupervised Feature Learning for Manipulation with Contrastive Domain Randomization
Carmel Rabinovitz
Niko A. Grupen
Aviv Tamar
OODSSL
52
3
0
20 Mar 2021
Encrypted Value Iteration and Temporal Difference Learning over Leveled
  Homomorphic Encryption
Encrypted Value Iteration and Temporal Difference Learning over Leveled Homomorphic Encryption
Jihoon Suh
Takashi Tanaka
66
21
0
20 Mar 2021
Interpretable Deep Learning: Interpretation, Interpretability,
  Trustworthiness, and Beyond
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond
Xuhong Li
Haoyi Xiong
Xingjian Li
Xuanyu Wu
Xiao Zhang
Ji Liu
Jiang Bian
Dejing Dou
AAMLFaMLXAIHAI
84
344
0
19 Mar 2021
S2P2: Self-Supervised Goal-Directed Path Planning Using RGB-D Data for
  Robotic Wheelchairs
S2P2: Self-Supervised Goal-Directed Path Planning Using RGB-D Data for Robotic Wheelchairs
Hengli Wang
Yuxiang Sun
Rui Fan
Ming-Yuan Liu
SSL
107
3
0
18 Mar 2021
Sample-efficient Reinforcement Learning Representation Learning with
  Curiosity Contrastive Forward Dynamics Model
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model
Thanh Nguyen
Tung M. Luu
Thang Vu
Chang D. Yoo
49
17
0
15 Mar 2021
Robotic Imitation of Human Assembly Skills Using Hybrid Trajectory and
  Force Learning
Robotic Imitation of Human Assembly Skills Using Hybrid Trajectory and Force Learning
Yan Wang
C. C. Beltran-Hernandez
Weiwei Wan
Kensuke Harada
48
22
0
10 Mar 2021
Benchmarking Off-The-Shelf Solutions to Robotic Assembly Tasks
Benchmarking Off-The-Shelf Solutions to Robotic Assembly Tasks
Wenzhao Lian
Tim Kelch
D. Holz
Adam Norton
S. Schaal
82
24
0
08 Mar 2021
Discovering Diverse Multi-Agent Strategic Behavior via Reward
  Randomization
Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization
Zhen-Yu Tang
Chao Yu
Boyuan Chen
Huazhe Xu
Xiaolong Wang
Fei Fang
S. Du
Yu Wang
Yi Wu
121
56
0
08 Mar 2021
Self-Supervised Online Reward Shaping in Sparse-Reward Environments
Self-Supervised Online Reward Shaping in Sparse-Reward Environments
F. Memarian
Wonjoon Goo
Rudolf Lioutikov
S. Niekum
Ufuk Topcu
OffRL
110
49
0
08 Mar 2021
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic
  Platforms
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms
Ali Ghadirzadeh
Xi Chen
Petra Poklukar
Chelsea Finn
Mårten Björkman
Danica Kragic
BDL
97
41
0
05 Mar 2021
Spatial Attention Point Network for Deep-learning-based Robust
  Autonomous Robot Motion Generation
Spatial Attention Point Network for Deep-learning-based Robust Autonomous Robot Motion Generation
Hideyuki Ichiwara
Hiroshi Ito
Kenjiro Yamamoto
Hiroki Mori
T. Ogata
3DPC
53
12
0
02 Mar 2021
NavTuner: Learning a Scene-Sensitive Family of Navigation Policies
NavTuner: Learning a Scene-Sensitive Family of Navigation Policies
Haoxin Ma
Justin S. Smith
Patricio A. Vela
123
4
0
02 Mar 2021
Generalization Through Hand-Eye Coordination: An Action Space for
  Learning Spatially-Invariant Visuomotor Control
Generalization Through Hand-Eye Coordination: An Action Space for Learning Spatially-Invariant Visuomotor Control
Chen Wang
Rui Wang
Ajay Mandlekar
Li Fei-Fei
Silvio Savarese
Danfei Xu
92
31
0
28 Feb 2021
DRIBO: Robust Deep Reinforcement Learning via Multi-View Information
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DRIBO: Robust Deep Reinforcement Learning via Multi-View Information Bottleneck
Jiameng Fan
Wenchao Li
OffRL
75
40
0
26 Feb 2021
Efficient and Interpretable Robot Manipulation with Graph Neural
  Networks
Efficient and Interpretable Robot Manipulation with Graph Neural Networks
Yixin Lin
Austin S. Wang
Eric Undersander
Akshara Rai
LM&Ro
171
44
0
25 Feb 2021
A Probabilistic Interpretation of Self-Paced Learning with Applications
  to Reinforcement Learning
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning
Pascal Klink
Hany Abdulsamad
Boris Belousov
Carlo DÉramo
Jan Peters
Joni Pajarinen
112
23
0
25 Feb 2021
DeepThermal: Combustion Optimization for Thermal Power Generating Units
  Using Offline Reinforcement Learning
DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning
Xianyuan Zhan
Haoran Xu
Yueying Zhang
Xiangyu Zhu
Honglei Yin
Yu Zheng
OffRLAI4CE
139
69
0
23 Feb 2021
Reinforcement Learning with Prototypical Representations
Reinforcement Learning with Prototypical Representations
Denis Yarats
Rob Fergus
A. Lazaric
Lerrel Pinto
SSL
92
226
0
22 Feb 2021
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous
  Agents via Personalized Simulators
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators
Anish Agarwal
Abdullah Alomar
Varkey Alumootil
Devavrat Shah
Dennis Shen
Zhi Xu
Cindy Yang
OffRL
76
18
0
13 Feb 2021
Learning Variable Impedance Control via Inverse Reinforcement Learning
  for Force-Related Tasks
Learning Variable Impedance Control via Inverse Reinforcement Learning for Force-Related Tasks
Xiang Zhang
Liting Sun
Zhian Kuang
Masayoshi Tomizuka
67
83
0
13 Feb 2021
Disturbing Reinforcement Learning Agents with Corrupted Rewards
Disturbing Reinforcement Learning Agents with Corrupted Rewards
Rubén Majadas
Javier A. García
Fernando Fernández
AAML
73
6
0
12 Feb 2021
kPAM 2.0: Feedback Control for Category-Level Robotic Manipulation
kPAM 2.0: Feedback Control for Category-Level Robotic Manipulation
Wei Gao
Russ Tedrake
168
72
0
11 Feb 2021
Transfer Reinforcement Learning across Homotopy Classes
Transfer Reinforcement Learning across Homotopy Classes
Zhangjie Cao
Minae Kwon
Dorsa Sadigh
49
17
0
10 Feb 2021
Unlocking Pixels for Reinforcement Learning via Implicit Attention
Unlocking Pixels for Reinforcement Learning via Implicit Attention
K. Choromanski
Deepali Jain
Wenhao Yu
Xingyou Song
Jack Parker-Holder
...
Aldo Pacchiano
Anirban Santara
Yunhao Tang
Jie Tan
Adrian Weller
OffRL
60
3
0
08 Feb 2021
Deep Reinforcement Learning for the Control of Robotic Manipulation: A
  Focussed Mini-Review
Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review
Rongrong Liu
F. Nageotte
P. Zanne
M. de Mathelin
Birgitta Dresp
104
150
0
08 Feb 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've
  Learned
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned
Julian Ibarz
Jie Tan
Chelsea Finn
Mrinal Kalakrishnan
P. Pastor
Sergey Levine
OffRL
162
538
0
04 Feb 2021
Gaze-based dual resolution deep imitation learning for high-precision dexterous robot manipulation
Gaze-based dual resolution deep imitation learning for high-precision dexterous robot manipulation
Heecheol Kim
Yoshiyuki Ohmura
Yasuo Kuniyoshi
116
25
0
02 Feb 2021
Contact Pose Identification for Peg-in-Hole Assembly under Uncertainties
Contact Pose Identification for Peg-in-Hole Assembly under Uncertainties
Shiyu Jin
Xinghao Zhu
Changhao Wang
Masayoshi Tomizuka
60
25
0
29 Jan 2021
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