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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 / 919 papers shown
Title
Perceiving and Reasoning About Liquids Using Fully Convolutional
  Networks
Perceiving and Reasoning About Liquids Using Fully Convolutional Networks
Connor Schenck
Dieter Fox
19
31
0
05 Mar 2017
Learning Robot Activities from First-Person Human Videos Using
  Convolutional Future Regression
Learning Robot Activities from First-Person Human Videos Using Convolutional Future Regression
Jangwon Lee
Michael S. Ryoo
32
13
0
03 Mar 2017
Deep Predictive Policy Training using Reinforcement Learning
Deep Predictive Policy Training using Reinforcement Learning
Ali Ghadirzadeh
A. Maki
Danica Kragic
Mårten Björkman
30
128
0
02 Mar 2017
Learning to Optimize Neural Nets
Learning to Optimize Neural Nets
Ke Li
Jitendra Malik
23
130
0
01 Mar 2017
How hard is it to cross the room? -- Training (Recurrent) Neural
  Networks to steer a UAV
How hard is it to cross the room? -- Training (Recurrent) Neural Networks to steer a UAV
Klaas Kelchtermans
Tinne Tuytelaars
32
34
0
24 Feb 2017
Preparing for the Unknown: Learning a Universal Policy with Online
  System Identification
Preparing for the Unknown: Learning a Universal Policy with Online System Identification
Wenhao Yu
Jie Tan
Chenxi Liu
Greg Turk
OffRL
26
306
0
08 Feb 2017
Uncertainty-Aware Reinforcement Learning for Collision Avoidance
Uncertainty-Aware Reinforcement Learning for Collision Avoidance
G. Kahn
Adam R. Villaflor
Vitchyr H. Pong
Pieter Abbeel
Sergey Levine
35
312
0
03 Feb 2017
Deep Reinforcement Learning for Robotic Manipulation-The state of the
  art
Deep Reinforcement Learning for Robotic Manipulation-The state of the art
S. Amarjyoti
23
65
0
31 Jan 2017
Expert Level control of Ramp Metering based on Multi-task Deep
  Reinforcement Learning
Expert Level control of Ramp Metering based on Multi-task Deep Reinforcement Learning
Francois Belletti
Daniel Haziza
G. Gomes
Alexandre M. Bayen
11
139
0
30 Jan 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,505
0
25 Jan 2017
Modeling Grasp Motor Imagery through Deep Conditional Generative Models
Modeling Grasp Motor Imagery through Deep Conditional Generative Models
M. Veres
M. Moussa
Graham W. Taylor
GAN
32
37
0
11 Jan 2017
Microstructure Representation and Reconstruction of Heterogeneous
  Materials via Deep Belief Network for Computational Material Design
Microstructure Representation and Reconstruction of Heterogeneous Materials via Deep Belief Network for Computational Material Design
Ruijin Cang
Yaopengxiao Xu
Shaohua Chen
Yongming Liu
Yang Jiao
Max Yi Ren
AI4CE
3DV
27
156
0
22 Dec 2016
Loss is its own Reward: Self-Supervision for Reinforcement Learning
Loss is its own Reward: Self-Supervision for Reinforcement Learning
Evan Shelhamer
Parsa Mahmoudieh
Max Argus
Trevor Darrell
SSL
24
186
0
21 Dec 2016
Unsupervised Perceptual Rewards for Imitation Learning
Unsupervised Perceptual Rewards for Imitation Learning
P. Sermanet
Kelvin Xu
Sergey Levine
SSL
23
156
0
20 Dec 2016
Exploring the Design Space of Deep Convolutional Neural Networks at
  Large Scale
Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale
F. Iandola
3DV
26
18
0
20 Dec 2016
Deep Reinforcement Learning with Successor Features for Navigation
  across Similar Environments
Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments
Jingwei Zhang
Jost Tobias Springenberg
Joschka Boedecker
Wolfram Burgard
22
294
0
16 Dec 2016
Generalizing Skills with Semi-Supervised Reinforcement Learning
Generalizing Skills with Semi-Supervised Reinforcement Learning
Chelsea Finn
Tianhe Yu
Justin Fu
Pieter Abbeel
Sergey Levine
OffRL
SSL
35
68
0
01 Dec 2016
Robotic Grasp Detection using Deep Convolutional Neural Networks
Robotic Grasp Detection using Deep Convolutional Neural Networks
Sulabh Kumra
Christopher Kanan
35
421
0
24 Nov 2016
Learning Dexterous Manipulation Policies from Experience and Imitation
Learning Dexterous Manipulation Policies from Experience and Imitation
Vikash Kumar
Abhishek Gupta
E. Todorov
Sergey Levine
14
84
0
15 Nov 2016
RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning
RL2^22: Fast Reinforcement Learning via Slow Reinforcement Learning
Yan Duan
John Schulman
Xi Chen
Peter L. Bartlett
Ilya Sutskever
Pieter Abbeel
OffRL
35
1,008
0
09 Nov 2016
Combining policy gradient and Q-learning
Combining policy gradient and Q-learning
Brendan O'Donoghue
Rémi Munos
Koray Kavukcuoglu
Volodymyr Mnih
OffRL
OnRL
30
139
0
05 Nov 2016
Towards Lifelong Self-Supervision: A Deep Learning Direction for
  Robotics
Towards Lifelong Self-Supervision: A Deep Learning Direction for Robotics
J. M. Wong
27
11
0
01 Nov 2016
Modular Deep Q Networks for Sim-to-real Transfer of Visuo-motor Policies
Modular Deep Q Networks for Sim-to-real Transfer of Visuo-motor Policies
Fangyi Zhang
Jurgen Leitner
Michael Milford
Peter Corke
34
39
0
21 Oct 2016
Learning and Transfer of Modulated Locomotor Controllers
Learning and Transfer of Modulated Locomotor Controllers
N. Heess
Greg Wayne
Yuval Tassa
Timothy Lillicrap
Martin Riedmiller
David Silver
35
207
0
17 Oct 2016
Sim-to-Real Robot Learning from Pixels with Progressive Nets
Sim-to-Real Robot Learning from Pixels with Progressive Nets
Andrei A. Rusu
Matej Vecerík
Thomas Rothörl
N. Heess
Razvan Pascanu
R. Hadsell
39
532
0
13 Oct 2016
Multi-Objective Deep Reinforcement Learning
Multi-Objective Deep Reinforcement Learning
Hossam Mossalam
Yannis Assael
D. Roijers
Shimon Whiteson
32
151
0
09 Oct 2016
Supervision via Competition: Robot Adversaries for Learning Tasks
Supervision via Competition: Robot Adversaries for Learning Tasks
Lerrel Pinto
James Davidson
Abhinav Gupta
SSL
24
82
0
05 Oct 2016
Deep Visual Foresight for Planning Robot Motion
Deep Visual Foresight for Planning Robot Motion
Chelsea Finn
Sergey Levine
49
777
0
03 Oct 2016
Collective Robot Reinforcement Learning with Distributed Asynchronous
  Guided Policy Search
Collective Robot Reinforcement Learning with Distributed Asynchronous Guided Policy Search
Ali Yahya
A. Li
Mrinal Kalakrishnan
Yevgen Chebotar
Sergey Levine
OffRL
26
155
0
03 Oct 2016
Path Integral Guided Policy Search
Path Integral Guided Policy Search
Yevgen Chebotar
Mrinal Kalakrishnan
Ali Yahya
A. Li
S. Schaal
Sergey Levine
36
149
0
03 Oct 2016
Deep Reinforcement Learning for Tensegrity Robot Locomotion
Deep Reinforcement Learning for Tensegrity Robot Locomotion
Marvin Zhang
Xinyang Geng
J. Bruce
Ken Caluwaerts
Massimo Vespignani
Vytas SunSpiral
Pieter Abbeel
Sergey Levine
25
92
0
28 Sep 2016
From Perception to Decision: A Data-driven Approach to End-to-end Motion
  Planning for Autonomous Ground Robots
From Perception to Decision: A Data-driven Approach to End-to-end Motion Planning for Autonomous Ground Robots
Mark Pfeiffer
Michaela Schaeuble
Juan I. Nieto
Roland Siegwart
Cesar Cadena
35
380
0
26 Sep 2016
Playing FPS Games with Deep Reinforcement Learning
Playing FPS Games with Deep Reinforcement Learning
Guillaume Lample
Devendra Singh Chaplot
OffRL
EgoV
28
583
0
18 Sep 2016
Towards Deep Symbolic Reinforcement Learning
Towards Deep Symbolic Reinforcement Learning
M. Garnelo
Kai Arulkumaran
Murray Shanahan
30
225
0
18 Sep 2016
Target-driven Visual Navigation in Indoor Scenes using Deep
  Reinforcement Learning
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning
Yuke Zhu
Roozbeh Mottaghi
Eric Kolve
Joseph J. Lim
Abhinav Gupta
Li Fei-Fei
Ali Farhadi
VGen
30
1,512
0
16 Sep 2016
Decoupled limbs yield differentiable trajectory outcomes through
  intermittent contact in locomotion and manipulation
Decoupled limbs yield differentiable trajectory outcomes through intermittent contact in locomotion and manipulation
Andrew M. Pace
Samuel A. Burden
18
5
0
13 Sep 2016
3D Simulation for Robot Arm Control with Deep Q-Learning
3D Simulation for Robot Arm Control with Deep Q-Learning
Stephen James
Edward Johns
24
108
0
13 Sep 2016
Learning Transferable Policies for Monocular Reactive MAV Control
Learning Transferable Policies for Monocular Reactive MAV Control
S. Daftry
J. Andrew Bagnell
Martial Hebert
26
85
0
01 Aug 2016
Discovering Latent States for Model Learning: Applying Sensorimotor
  Contingencies Theory and Predictive Processing to Model Context
Discovering Latent States for Model Learning: Applying Sensorimotor Contingencies Theory and Predictive Processing to Model Context
Nikolas J. Hemion
DRL
9
4
0
01 Aug 2016
End-to-end training of object class detectors for mean average precision
End-to-end training of object class detectors for mean average precision
Paul Henderson
V. Ferrari
ObjD
33
259
0
12 Jul 2016
Learning to Poke by Poking: Experiential Learning of Intuitive Physics
Learning to Poke by Poking: Experiential Learning of Intuitive Physics
Pulkit Agrawal
Ashvin Nair
Pieter Abbeel
Jitendra Malik
Sergey Levine
SSL
10
563
0
23 Jun 2016
Detection and Tracking of Liquids with Fully Convolutional Networks
Detection and Tracking of Liquids with Fully Convolutional Networks
Connor Schenck
Dieter Fox
19
17
0
20 Jun 2016
Learning Multiagent Communication with Backpropagation
Learning Multiagent Communication with Backpropagation
Sainbayar Sukhbaatar
Arthur Szlam
Rob Fergus
79
1,138
0
25 May 2016
Look-ahead before you leap: end-to-end active recognition by forecasting
  the effect of motion
Look-ahead before you leap: end-to-end active recognition by forecasting the effect of motion
Dinesh Jayaraman
Kristen Grauman
17
91
0
30 Apr 2016
Benchmarking Deep Reinforcement Learning for Continuous Control
Benchmarking Deep Reinforcement Learning for Continuous Control
Yan Duan
Xi Chen
Rein Houthooft
John Schulman
Pieter Abbeel
OffRL
20
1,687
0
22 Apr 2016
HIRL: Hierarchical Inverse Reinforcement Learning for Long-Horizon Tasks
  with Delayed Rewards
HIRL: Hierarchical Inverse Reinforcement Learning for Long-Horizon Tasks with Delayed Rewards
S. Krishnan
Animesh Garg
Richard Liaw
Lauren Miller
Florian T. Pokorny
Ken Goldberg
36
40
0
21 Apr 2016
Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep
  Convolutional Neural Networks
Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks
Junyuan Xie
Ross B. Girshick
Ali Farhadi
3DH
42
426
0
13 Apr 2016
"What happens if..." Learning to Predict the Effect of Forces in Images
"What happens if..." Learning to Predict the Effect of Forces in Images
Roozbeh Mottaghi
Mohammad Rastegari
Abhinav Gupta
Ali Farhadi
OOD
31
123
0
17 Mar 2016
Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning
  and Large-Scale Data Collection
Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection
Sergey Levine
P. Pastor
A. Krizhevsky
Deirdre Quillen
46
2,062
0
07 Mar 2016
Continuous Deep Q-Learning with Model-based Acceleration
Continuous Deep Q-Learning with Model-based Acceleration
S. Gu
Timothy Lillicrap
Ilya Sutskever
Sergey Levine
25
1,008
0
02 Mar 2016
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