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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
Model-based Policy Optimization with Unsupervised Model Adaptation
Model-based Policy Optimization with Unsupervised Model Adaptation
Jian Shen
Han Zhao
Weinan Zhang
Yong Yu
114
28
0
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Decentralized Multi-Agent Pursuit using Deep Reinforcement Learning
Decentralized Multi-Agent Pursuit using Deep Reinforcement Learning
C. de Souza
Rhys Newbury
Akansel Cosgun
P. Castillo
B. Vidolov
Dana Kulić
108
92
0
16 Oct 2020
An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse
  Rewards
An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse Rewards
Siyu Dai
Wenyuan Xu
Andreas G. Hofmann
B. Williams
97
8
0
15 Oct 2020
Multi-Agent Trust Region Policy Optimization
Multi-Agent Trust Region Policy Optimization
Hepeng Li
Haibo He
106
42
0
15 Oct 2020
Towards human-level performance on automatic pose estimation of infant
  spontaneous movements
Towards human-level performance on automatic pose estimation of infant spontaneous movements
Daniel Groos
Lars Adde
R. Støen
H. Ramampiaro
Espen A. F. Ihlen
3DH
77
30
0
12 Oct 2020
Deep Echo State Q-Network (DEQN) and Its Application in Dynamic Spectrum
  Sharing for 5G and Beyond
Deep Echo State Q-Network (DEQN) and Its Application in Dynamic Spectrum Sharing for 5G and Beyond
Hao-Hsuan Chang
Lingjia Liu
Yuhao Yi
75
47
0
12 Oct 2020
Safe Reinforcement Learning with Natural Language Constraints
Safe Reinforcement Learning with Natural Language Constraints
Tsung-Yen Yang
Michael Y. Hu
Yinlam Chow
Peter J. Ramadge
Karthik Narasimhan
71
32
0
11 Oct 2020
Event-Triggered Multi-agent Reinforcement Learning with Communication
  under Limited-bandwidth Constraint
Event-Triggered Multi-agent Reinforcement Learning with Communication under Limited-bandwidth Constraint
Guangzhen Hu
Yuanheng Zhu
Dongbin Zhao
Mengchen Zhao
Jianye Hao
57
17
0
10 Oct 2020
Learning the Linear Quadratic Regulator from Nonlinear Observations
Learning the Linear Quadratic Regulator from Nonlinear Observations
Zakaria Mhammedi
Dylan J. Foster
Max Simchowitz
Dipendra Kumar Misra
Wen Sun
A. Krishnamurthy
Alexander Rakhlin
John Langford
106
30
0
08 Oct 2020
Projection-Based Constrained Policy Optimization
Projection-Based Constrained Policy Optimization
Tsung-Yen Yang
Justinian P. Rosca
Karthik Narasimhan
Peter J. Ramadge
60
245
0
07 Oct 2020
Heterogeneous Multi-Agent Reinforcement Learning for Unknown Environment
  Mapping
Heterogeneous Multi-Agent Reinforcement Learning for Unknown Environment Mapping
Ceyer Wakilpoor
Patrick J. Martin
Carrie Rebhuhn
Amanda Vu
67
22
0
06 Oct 2020
A Novel Actor Dual-Critic Model for Remote Sensing Image Captioning
A Novel Actor Dual-Critic Model for Remote Sensing Image Captioning
Ruchika Chavhan
Biplab Banerjee
Xiaoxiang Zhu
S. Chaudhuri
32
8
0
05 Oct 2020
Student-Initiated Action Advising via Advice Novelty
Student-Initiated Action Advising via Advice Novelty
Ercüment Ilhan
Jeremy Gow
Diego Perez
53
9
0
01 Oct 2020
Bridging the gap between Markowitz planning and deep reinforcement
  learning
Bridging the gap between Markowitz planning and deep reinforcement learning
Eric Benhamou
David Saltiel
Sandrine Ungari
Abhishek Mukhopadhyay
OffRL
62
19
0
30 Sep 2020
AAMDRL: Augmented Asset Management with Deep Reinforcement Learning
AAMDRL: Augmented Asset Management with Deep Reinforcement Learning
Eric Benhamou
David Saltiel
Sandrine Ungari
Abhishek Mukhopadhyay
Jamal Atif
63
9
0
30 Sep 2020
Trust-Region Method with Deep Reinforcement Learning in Analog Design
  Space Exploration
Trust-Region Method with Deep Reinforcement Learning in Analog Design Space Exploration
Kai-En Yang
Chia-Yu Tsai
Hung-Hao Shen
Chen-Feng Chiang
Feng-Ming Tsai
Chunguang Wang
Yiju Ting
Chia-Shun Yeh
C. Lai
53
14
0
29 Sep 2020
Enhancing a Neurocognitive Shared Visuomotor Model for Object
  Identification, Localization, and Grasping With Learning From Auxiliary Tasks
Enhancing a Neurocognitive Shared Visuomotor Model for Object Identification, Localization, and Grasping With Learning From Auxiliary Tasks
Matthias Kerzel
Fares Abawi
Manfred Eppe
S. Wermter
126
3
0
26 Sep 2020
Graph neural induction of value iteration
Graph neural induction of value iteration
Andreea Deac
Pierre-Luc Bacon
Jian Tang
53
10
0
26 Sep 2020
Transfer Learning in Deep Reinforcement Learning: A Survey
Transfer Learning in Deep Reinforcement Learning: A Survey
Zhuangdi Zhu
Kaixiang Lin
Anil K. Jain
Jiayu Zhou
OffRLLRM
160
606
0
16 Sep 2020
Time your hedge with Deep Reinforcement Learning
Time your hedge with Deep Reinforcement Learning
Eric Benhamou
David Saltiel
Sandrine Ungari
Abhishek Mukhopadhyay
AIFin
45
15
0
16 Sep 2020
Decoupling Representation Learning from Reinforcement Learning
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke
Kimin Lee
Pieter Abbeel
Michael Laskin
SSLDRL
403
346
0
14 Sep 2020
Guided Policy Search Based Control of a High Dimensional Advanced
  Manufacturing Process
Guided Policy Search Based Control of a High Dimensional Advanced Manufacturing Process
A. Surana
Kishore K. Reddy
M. Siopis
AI4CE
27
2
0
12 Sep 2020
Towards Practical Implementations of Person Re-Identification from Full
  Video Frames
Towards Practical Implementations of Person Re-Identification from Full Video Frames
Felix O. Sumari
Luigy Machaca
Jose Huaman
E. Clua
Joris Guérin
35
8
0
02 Sep 2020
Heatmap Regression via Randomized Rounding
Heatmap Regression via Randomized Rounding
B. Yu
Dacheng Tao
87
30
0
01 Sep 2020
Deep Reinforcement Learning for Contact-Rich Skills Using Compliant
  Movement Primitives
Deep Reinforcement Learning for Contact-Rich Skills Using Compliant Movement Primitives
Oren Spector
M. Zacksenhouse
64
12
0
30 Aug 2020
Document-editing Assistants and Model-based Reinforcement Learning as a
  Path to Conversational AI
Document-editing Assistants and Model-based Reinforcement Learning as a Path to Conversational AI
Katya Kudashkina
P. Pilarski
R. Sutton
KELM
84
6
0
27 Aug 2020
Indirect Object-to-Robot Pose Estimation from an External Monocular RGB
  Camera
Indirect Object-to-Robot Pose Estimation from an External Monocular RGB Camera
Jonathan Tremblay
Stephen Tyree
Terry Mosier
Stan Birchfield
85
23
0
26 Aug 2020
Safe Active Dynamics Learning and Control: A Sequential
  Exploration-Exploitation Framework
Safe Active Dynamics Learning and Control: A Sequential Exploration-Exploitation Framework
T. Lew
Apoorva Sharma
James Harrison
Andrew Bylard
Marco Pavone
111
47
0
26 Aug 2020
A Framework for Studying Reinforcement Learning and Sim-to-Real in Robot
  Soccer
A Framework for Studying Reinforcement Learning and Sim-to-Real in Robot Soccer
H. Bassani
R. A. Delgado
J. N. D. O. L. Junior
H. R. Medeiros
Pedro H. M. Braga
Mateus G. Machado
L. H. C. Santos
Alain Tapp
25
11
0
18 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
86
79
0
18 Aug 2020
Learning to Actively Reduce Memory Requirements for Robot Control Tasks
Learning to Actively Reduce Memory Requirements for Robot Control Tasks
Meghan Booker
Anirudha Majumdar
59
4
0
17 Aug 2020
On the Sample Complexity of Reinforcement Learning with Policy Space
  Generalization
On the Sample Complexity of Reinforcement Learning with Policy Space Generalization
Wenlong Mou
Zheng Wen
Xi Chen
74
11
0
17 Aug 2020
Offline Meta-Reinforcement Learning with Advantage Weighting
Offline Meta-Reinforcement Learning with Advantage Weighting
E. Mitchell
Rafael Rafailov
Xue Bin Peng
Sergey Levine
Chelsea Finn
OffRL
131
108
0
13 Aug 2020
Reinforcement Learning with Trajectory Feedback
Reinforcement Learning with Trajectory Feedback
Yonathan Efroni
Nadav Merlis
Shie Mannor
104
45
0
13 Aug 2020
Learning Event-triggered Control from Data through Joint Optimization
Learning Event-triggered Control from Data through Joint Optimization
Niklas Funk
Dominik Baumann
V. Berenz
Sebastian Trimpe
74
18
0
11 Aug 2020
SafePILCO: a software tool for safe and data-efficient policy synthesis
SafePILCO: a software tool for safe and data-efficient policy synthesis
Kyriakos Polymenakos
Nikitas Rontsis
Alessandro Abate
Stephen J. Roberts
78
6
0
07 Aug 2020
Active Improvement of Control Policies with Bayesian Gaussian Mixture
  Model
Active Improvement of Control Policies with Bayesian Gaussian Mixture Model
Hakan Girgin
Emmanuel Pignat
Noémie Jaquier
Sylvain Calinon
53
7
0
06 Aug 2020
Contrastive Variational Reinforcement Learning for Complex Observations
Contrastive Variational Reinforcement Learning for Complex Observations
Xiao Ma
Siwei Chen
David Hsu
W. Lee
OffRL
81
23
0
06 Aug 2020
Follow the Object: Curriculum Learning for Manipulation Tasks with
  Imagined Goals
Follow the Object: Curriculum Learning for Manipulation Tasks with Imagined Goals
Ozsel Kilinc
Giovanni Montana
66
5
0
05 Aug 2020
Hindsight for Foresight: Unsupervised Structured Dynamics Models from
  Physical Interaction
Hindsight for Foresight: Unsupervised Structured Dynamics Models from Physical Interaction
Iman Nematollahi
Oier Mees
Lukás Hermann
Wolfram Burgard
84
15
0
02 Aug 2020
Complex Robotic Manipulation via Graph-Based Hindsight Goal Generation
Complex Robotic Manipulation via Graph-Based Hindsight Goal Generation
Zhenshan Bing
Matthias Brucker
F. O. Morin
Kai-Qi Huang
Alois C. Knoll
73
27
0
27 Jul 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
112
9
0
26 Jul 2020
Joint Mind Modeling for Explanation Generation in Complex Human-Robot
  Collaborative Tasks
Joint Mind Modeling for Explanation Generation in Complex Human-Robot Collaborative Tasks
Xiaofeng Gao
Ran Gong
Yizhou Zhao
Shu Wang
Tianmin Shu
Song-Chun Zhu
66
37
0
24 Jul 2020
Bridging the Imitation Gap by Adaptive Insubordination
Bridging the Imitation Gap by Adaptive Insubordination
Luca Weihs
Unnat Jain
Iou-Jen Liu
Jordi Salvador
Svetlana Lazebnik
Aniruddha Kembhavi
Alex Schwing
93
36
0
23 Jul 2020
Learning High-Level Policies for Model Predictive Control
Learning High-Level Policies for Model Predictive Control
Yunlong Song
Davide Scaramuzza
61
31
0
20 Jul 2020
Goal-Aware Prediction: Learning to Model What Matters
Goal-Aware Prediction: Learning to Model What Matters
Suraj Nair
Silvio Savarese
Chelsea Finn
85
66
0
14 Jul 2020
MeTRAbs: Metric-Scale Truncation-Robust Heatmaps for Absolute 3D Human
  Pose Estimation
MeTRAbs: Metric-Scale Truncation-Robust Heatmaps for Absolute 3D Human Pose Estimation
István Sárándi
Timm Linder
Kai O. Arras
Bastian Leibe
3DH
62
84
0
12 Jul 2020
One Policy to Control Them All: Shared Modular Policies for
  Agent-Agnostic Control
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control
Wenlong Huang
Igor Mordatch
Deepak Pathak
160
179
0
09 Jul 2020
Self-Supervised Policy Adaptation during Deployment
Self-Supervised Policy Adaptation during Deployment
Nicklas Hansen
Rishabh Jangir
Yu Sun
Guillem Alenyà
Pieter Abbeel
Alexei A. Efros
Lerrel Pinto
Xiaolong Wang
110
163
0
08 Jul 2020
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
Adam Stooke
Joshua Achiam
Pieter Abbeel
117
302
0
08 Jul 2020
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