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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
Differentiable Trust Region Layers for Deep Reinforcement Learning
Differentiable Trust Region Layers for Deep Reinforcement Learning
Fabian Otto
P. Becker
Ngo Anh Vien
Hanna Ziesche
Gerhard Neumann
OffRL
76
19
0
22 Jan 2021
Meta-Reinforcement Learning for Adaptive Motor Control in Changing Robot
  Dynamics and Environments
Meta-Reinforcement Learning for Adaptive Motor Control in Changing Robot Dynamics and Environments
Timothée Anne
Jack Wilkinson
Zhibin Li
80
1
0
19 Jan 2021
Stable deep reinforcement learning method by predicting uncertainty in
  rewards as a subtask
Stable deep reinforcement learning method by predicting uncertainty in rewards as a subtask
Kanata Suzuki
T. Ogata
83
2
0
18 Jan 2021
Asymmetric self-play for automatic goal discovery in robotic
  manipulation
Asymmetric self-play for automatic goal discovery in robotic manipulation
OpenAI OpenAI
Matthias Plappert
Raul Sampedro
Tao Xu
Ilge Akkaya
...
Hyeonwoo Noh
Lilian Weng
Qiming Yuan
Casey Chu
Wojciech Zaremba
SSL
150
79
0
13 Jan 2021
Independent Policy Gradient Methods for Competitive Reinforcement
  Learning
Independent Policy Gradient Methods for Competitive Reinforcement Learning
C. Daskalakis
Dylan J. Foster
Noah Golowich
244
163
0
11 Jan 2021
A Survey on Deep Reinforcement Learning for Audio-Based Applications
A Survey on Deep Reinforcement Learning for Audio-Based Applications
S. Latif
Heriberto Cuayáhuitl
Farrukh Pervez
Fahad Shamshad
Hafiz Shehbaz Ali
Min Zhang
OffRL
128
75
0
01 Jan 2021
Faults in Deep Reinforcement Learning Programs: A Taxonomy and A
  Detection Approach
Faults in Deep Reinforcement Learning Programs: A Taxonomy and A Detection Approach
Amin Nikanjam
Mohammad Mehdi Morovati
Foutse Khomh
Houssem Ben Braiek
113
33
0
01 Jan 2021
Control Barriers in Bayesian Learning of System Dynamics
Control Barriers in Bayesian Learning of System Dynamics
Vikas Dhiman
M. J. Khojasteh
M. Franceschetti
Nikolay Atanasov
119
68
0
29 Dec 2020
Causal World Models by Unsupervised Deconfounding of Physical Dynamics
Causal World Models by Unsupervised Deconfounding of Physical Dynamics
Minne Li
Mengyue Yang
Furui Liu
Xu Chen
Zhitang Chen
Jun Wang
SyDaCML
50
13
0
28 Dec 2020
Multi-Instance Aware Localization for End-to-End Imitation Learning
Multi-Instance Aware Localization for End-to-End Imitation Learning
S. Gubbi
Raviteja Upadrashta
Shishir Kolathaya
B. Amrutur
50
1
0
26 Dec 2020
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search
Y. Fu
Zhongzhi Yu
Yongan Zhang
Yingyan Lin
85
4
0
24 Dec 2020
Offline Reinforcement Learning from Images with Latent Space Models
Offline Reinforcement Learning from Images with Latent Space Models
Rafael Rafailov
Tianhe Yu
Aravind Rajeswaran
Chelsea Finn
OffRL
93
129
0
21 Dec 2020
Exploiting Vulnerability of Pooling in Convolutional Neural Networks by
  Strict Layer-Output Manipulation for Adversarial Attacks
Exploiting Vulnerability of Pooling in Convolutional Neural Networks by Strict Layer-Output Manipulation for Adversarial Attacks
Chenchen Zhao
Hao Li
AAML
45
0
0
21 Dec 2020
High-Throughput Synchronous Deep RL
High-Throughput Synchronous Deep RL
Iou-Jen Liu
Raymond A. Yeh
Alex Schwing
OffRL
69
12
0
17 Dec 2020
ViNG: Learning Open-World Navigation with Visual Goals
ViNG: Learning Open-World Navigation with Visual Goals
Dhruv Shah
Benjamin Eysenbach
G. Kahn
Nicholas Rhinehart
Sergey Levine
110
96
0
17 Dec 2020
BeBold: Exploration Beyond the Boundary of Explored Regions
BeBold: Exploration Beyond the Boundary of Explored Regions
Tianjun Zhang
Huazhe Xu
Xiaolong Wang
Yi Wu
Kurt Keutzer
Joseph E. Gonzalez
Yuandong Tian
81
40
0
15 Dec 2020
Learning Visual Robotic Control Efficiently with Contrastive
  Pre-training and Data Augmentation
Learning Visual Robotic Control Efficiently with Contrastive Pre-training and Data Augmentation
Albert Zhan
Philip Zhao
Lerrel Pinto
Pieter Abbeel
Michael Laskin
SSLDRL
98
21
0
14 Dec 2020
Models, Pixels, and Rewards: Evaluating Design Trade-offs in Visual
  Model-Based Reinforcement Learning
Models, Pixels, and Rewards: Evaluating Design Trade-offs in Visual Model-Based Reinforcement Learning
Mohammad Babaeizadeh
M. Saffar
Danijar Hafner
Harini Kannan
Chelsea Finn
Sergey Levine
D. Erhan
VLM
65
9
0
08 Dec 2020
Demonstration-efficient Inverse Reinforcement Learning in Procedurally
  Generated Environments
Demonstration-efficient Inverse Reinforcement Learning in Procedurally Generated Environments
Alessandro Sestini
A. Kuhnle
Andrew D. Bagdanov
51
7
0
04 Dec 2020
Self-supervised Visual Reinforcement Learning with Object-centric
  Representations
Self-supervised Visual Reinforcement Learning with Object-centric Representations
Andrii Zadaianchuk
Maximilian Seitzer
Georg Martius
SSLOCL
77
42
0
29 Nov 2020
Adaptable Automation with Modular Deep Reinforcement Learning and Policy
  Transfer
Adaptable Automation with Modular Deep Reinforcement Learning and Policy Transfer
Zohreh Raziei
Mohsen Moghaddam
77
25
0
27 Nov 2020
Generalization in Reinforcement Learning by Soft Data Augmentation
Generalization in Reinforcement Learning by Soft Data Augmentation
Nicklas Hansen
Xiaolong Wang
OffRL
136
175
0
26 Nov 2020
Regret Bounds for Adaptive Nonlinear Control
Regret Bounds for Adaptive Nonlinear Control
Nicholas M. Boffi
Stephen Tu
Jean-Jacques E. Slotine
105
48
0
26 Nov 2020
Policy Optimization for Markovian Jump Linear Quadratic Control:
  Gradient-Based Methods and Global Convergence
Policy Optimization for Markovian Jump Linear Quadratic Control: Gradient-Based Methods and Global Convergence
Joao Paulo Jansch-Porto
Bin Hu
Geir Dullerud
63
8
0
24 Nov 2020
From Pixels to Legs: Hierarchical Learning of Quadruped Locomotion
From Pixels to Legs: Hierarchical Learning of Quadruped Locomotion
Deepali Jain
Atil Iscen
Ken Caluwaerts
68
35
0
23 Nov 2020
COCOI: Contact-aware Online Context Inference for Generalizable
  Non-planar Pushing
COCOI: Contact-aware Online Context Inference for Generalizable Non-planar Pushing
Zhuo Xu
Wenhao Yu
Alexander Herzog
Wenlong Lu
Chuyuan Fu
Masayoshi Tomizuka
Yunfei Bai
Chenxi Liu
Daniel Ho
OffRL
63
17
0
23 Nov 2020
SAFARI: Safe and Active Robot Imitation Learning with Imagination
SAFARI: Safe and Active Robot Imitation Learning with Imagination
Norman Di Palo
Edward Johns
74
8
0
18 Nov 2020
Learning Dense Rewards for Contact-Rich Manipulation Tasks
Learning Dense Rewards for Contact-Rich Manipulation Tasks
Zheng Wu
Wenzhao Lian
Vaibhav Unhelkar
Masayoshi Tomizuka
S. Schaal
138
37
0
17 Nov 2020
Benchmarking Domain Randomisation for Visual Sim-to-Real Transfer
Benchmarking Domain Randomisation for Visual Sim-to-Real Transfer
Raghad Alghonaim
Edward Johns
122
22
0
13 Nov 2020
Robust Policies via Mid-Level Visual Representations: An Experimental
  Study in Manipulation and Navigation
Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation
B. Chen
Alexander Sax
Gene Lewis
Iro Armeni
Silvio Savarese
Amir Zamir
Jitendra Malik
Lerrel Pinto
82
45
0
13 Nov 2020
Joint Space Control via Deep Reinforcement Learning
Joint Space Control via Deep Reinforcement Learning
Visak C. V. Kumar
David Hoeller
Balakumar Sundaralingam
Jonathan Tremblay
Stan Birchfield
DRL
85
16
0
12 Nov 2020
Transformers for One-Shot Visual Imitation
Transformers for One-Shot Visual Imitation
Sudeep Dasari
Abhinav Gupta
LM&Ro
105
95
0
11 Nov 2020
CRPO: A New Approach for Safe Reinforcement Learning with Convergence
  Guarantee
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee
Tengyu Xu
Yingbin Liang
Guanghui Lan
111
128
0
11 Nov 2020
Continual Learning of Control Primitives: Skill Discovery via
  Reset-Games
Continual Learning of Control Primitives: Skill Discovery via Reset-Games
Kelvin Xu
Siddharth Verma
Chelsea Finn
Sergey Levine
CLL
88
34
0
10 Nov 2020
DIPN: Deep Interaction Prediction Network with Application to Clutter
  Removal
DIPN: Deep Interaction Prediction Network with Application to Clutter Removal
Baichuan Huang
Shuai D. Han
Abdeslam Boularias
Jingjin Yu
AI4CE
96
61
0
09 Nov 2020
Bait and Switch: Online Training Data Poisoning of Autonomous Driving
  Systems
Bait and Switch: Online Training Data Poisoning of Autonomous Driving Systems
Naman Patel
Prashanth Krishnamurthy
S. Garg
Farshad Khorrami
AAML
49
13
0
08 Nov 2020
Multi-Modal Learning of Keypoint Predictive Models for Visual Object
  Manipulation
Multi-Modal Learning of Keypoint Predictive Models for Visual Object Manipulation
Sarah Bechtle
Neha Das
Franziska Meier
SSL
63
5
0
08 Nov 2020
Bayes-Adaptive Deep Model-Based Policy Optimisation
Bayes-Adaptive Deep Model-Based Policy Optimisation
Tai Hoang
Ngo Anh Vien
BDL
69
1
0
29 Oct 2020
Abstract Value Iteration for Hierarchical Reinforcement Learning
Abstract Value Iteration for Hierarchical Reinforcement Learning
Kishor Jothimurugan
Osbert Bastani
Rajeev Alur
51
23
0
29 Oct 2020
Dynamically Feasible Deep Reinforcement Learning Policy for Robot
  Navigation in Dense Mobile Crowds
Dynamically Feasible Deep Reinforcement Learning Policy for Robot Navigation in Dense Mobile Crowds
Utsav Patel
Nithish Kumar
A. Sathyamoorthy
Tianyi Zhou
92
63
0
28 Oct 2020
Learning to be Safe: Deep RL with a Safety Critic
Learning to be Safe: Deep RL with a Safety Critic
K. Srinivasan
Benjamin Eysenbach
Sehoon Ha
Jie Tan
Chelsea Finn
OffRL
97
148
0
27 Oct 2020
The State of Industrial Robotics: Emerging Technologies, Challenges, and
  Key Research Directions
The State of Industrial Robotics: Emerging Technologies, Challenges, and Key Research Directions
Lindsay M. Sanneman
Christopher K. Fourie
J. Shah
55
69
0
27 Oct 2020
One Solution is Not All You Need: Few-Shot Extrapolation via Structured
  MaxEnt RL
One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL
Saurabh Kumar
Aviral Kumar
Sergey Levine
Chelsea Finn
OffRL
84
95
0
27 Oct 2020
Behavior Priors for Efficient Reinforcement Learning
Behavior Priors for Efficient Reinforcement Learning
Dhruva Tirumala
Alexandre Galashov
Hyeonwoo Noh
Leonard Hasenclever
Razvan Pascanu
...
Guillaume Desjardins
Wojciech M. Czarnecki
Arun Ahuja
Yee Whye Teh
N. Heess
116
40
0
27 Oct 2020
MELD: Meta-Reinforcement Learning from Images via Latent State Models
MELD: Meta-Reinforcement Learning from Images via Latent State Models
Tony Zhao
Anusha Nagabandi
Kate Rakelly
Chelsea Finn
Sergey Levine
OffRL
104
35
0
26 Oct 2020
OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement
  Learning
OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning
Anurag Ajay
Aviral Kumar
Pulkit Agrawal
Sergey Levine
Ofir Nachum
OffRLOnRL
111
160
0
26 Oct 2020
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in
  Reinforcement Learning
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning
Younggyo Seo
Kimin Lee
I. Clavera
Thanard Kurutach
Jinwoo Shin
Pieter Abbeel
86
39
0
26 Oct 2020
Motion Planner Augmented Reinforcement Learning for Robot Manipulation
  in Obstructed Environments
Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments
Jun Yamada
Youngwoon Lee
G. Salhotra
Karl Pertsch
Max Pflueger
Gaurav Sukhatme
Joseph J. Lim
Péter Englert
76
44
0
22 Oct 2020
Deep Surrogate Q-Learning for Autonomous Driving
Deep Surrogate Q-Learning for Autonomous Driving
M. Kalweit
Gabriel Kalweit
M. Werling
Joschka Boedecker
OffRL
49
6
0
21 Oct 2020
Learning a Low-dimensional Representation of a Safe Region for Safe
  Reinforcement Learning on Dynamical Systems
Learning a Low-dimensional Representation of a Safe Region for Safe Reinforcement Learning on Dynamical Systems
Zhehua Zhou
Ozgur S. Oguz
M. Leibold
M. Buss
76
14
0
19 Oct 2020
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