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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
Learning to Interactively Learn and Assist
Learning to Interactively Learn and Assist
Mark P. Woodward
Chelsea Finn
Karol Hausman
27
33
0
24 Jun 2019
Variable Impedance Control in End-Effector Space: An Action Space for
  Reinforcement Learning in Contact-Rich Tasks
Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks
Roberto Martín-Martín
Michelle A. Lee
Rachel Gardner
Silvio Savarese
Jeannette Bohg
Animesh Garg
30
194
0
20 Jun 2019
PyRobot: An Open-source Robotics Framework for Research and Benchmarking
PyRobot: An Open-source Robotics Framework for Research and Benchmarking
Adithyavairavan Murali
Tao Chen
Kalyan Vasudev Alwala
Dhiraj Gandhi
Lerrel Pinto
Saurabh Gupta
Abhinav Gupta
32
107
0
19 Jun 2019
Direct Policy Gradients: Direct Optimization of Policies in Discrete
  Action Spaces
Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces
Guy Lorberbom
Chris J. Maddison
N. Heess
Tamir Hazan
Daniel Tarlow
34
8
0
14 Jun 2019
Exploration via Hindsight Goal Generation
Exploration via Hindsight Goal Generation
Zhizhou Ren
Kefan Dong
Yuanshuo Zhou
Qiang Liu
Jian-wei Peng
35
85
0
10 Jun 2019
A Survey of Behavior Learning Applications in Robotics -- State of the
  Art and Perspectives
A Survey of Behavior Learning Applications in Robotics -- State of the Art and Perspectives
Alexander Fabisch
Christoph Petzoldt
M. Otto
Frank Kirchner
AI4CE
15
13
0
05 Jun 2019
Does computer vision matter for action?
Does computer vision matter for action?
Brady Zhou
Philipp Krahenbuhl
V. Koltun
LM&Ro
16
107
0
30 May 2019
Snooping Attacks on Deep Reinforcement Learning
Snooping Attacks on Deep Reinforcement Learning
Matthew J. Inkawhich
Yiran Chen
Hai Helen Li
AAML
22
25
0
28 May 2019
Composing Task-Agnostic Policies with Deep Reinforcement Learning
Composing Task-Agnostic Policies with Deep Reinforcement Learning
A. H. Qureshi
Jacob J. Johnson
Yuzhe Qin
Taylor Henderson
Byron Boots
Michael C. Yip
OffRL
22
30
0
25 May 2019
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning
Rui Zhao
Xudong Sun
Volker Tresp
29
80
0
21 May 2019
Reinforcement Learning without Ground-Truth State
Reinforcement Learning without Ground-Truth State
Xingyu Lin
H. Baweja
David Held
OffRL
SSL
20
24
0
20 May 2019
REPLAB: A Reproducible Low-Cost Arm Benchmark Platform for Robotic
  Learning
REPLAB: A Reproducible Low-Cost Arm Benchmark Platform for Robotic Learning
Brian Yang
Jesse Zhang
Vitchyr H. Pong
Sergey Levine
Dinesh Jayaraman
27
37
0
17 May 2019
Actor-Critic Algorithms for Constrained Multi-agent Reinforcement
  Learning
Actor-Critic Algorithms for Constrained Multi-agent Reinforcement Learning
Raghuram Bharadwaj Diddigi
Sai Koti Reddy Danda
Prabuchandran K.J.
S. Bhatnagar
26
18
0
08 May 2019
Perceptual Attention-based Predictive Control
Perceptual Attention-based Predictive Control
Keuntaek Lee
G. N. An
Viacheslav Zakharov
Evangelos A. Theodorou
15
19
0
26 Apr 2019
Learning a Controller Fusion Network by Online Trajectory Filtering for
  Vision-based UAV Racing
Learning a Controller Fusion Network by Online Trajectory Filtering for Vision-based UAV Racing
Matthias Muller
Guohao Li
Vincent Casser
Neil G. Smith
D. L. Michels
Guohao Li
18
13
0
18 Apr 2019
Decoupled Data Based Approach for Learning to Control Nonlinear
  Dynamical Systems
Decoupled Data Based Approach for Learning to Control Nonlinear Dynamical Systems
Ran A. Wang
Karthikeya S. Parunandi
Dan Yu
D. Kalathil
S. Chakravorty
23
11
0
17 Apr 2019
Learning Probabilistic Multi-Modal Actor Models for Vision-Based Robotic
  Grasping
Learning Probabilistic Multi-Modal Actor Models for Vision-Based Robotic Grasping
Mengyuan Yan
A. Li
Mrinal Kalakrishnan
P. Pastor
15
18
0
15 Apr 2019
A review on Neural Turing Machine
A review on Neural Turing Machine
Soroor Malekmohamadi Faradonbe
Faramarz Safi Esfahani
AI4CE
29
6
0
10 Apr 2019
Pixels to Plans: Learning Non-Prehensile Manipulation by Imitating a
  Planner
Pixels to Plans: Learning Non-Prehensile Manipulation by Imitating a Planner
Tarik Tosun
E. Mitchell
Ben Eisner
Jinwook Huh
Bhoram Lee
Daewon Lee
Volkan Isler
H. S. Seung
Daniel D. Lee
21
11
0
05 Apr 2019
PaintBot: A Reinforcement Learning Approach for Natural Media Painting
PaintBot: A Reinforcement Learning Approach for Natural Media Painting
Biao Jia
Chen Fang
Jonathan Brandt
Byungmoon Kim
Tianyi Zhou
25
15
0
03 Apr 2019
Deep Reinforcement Learning on a Budget: 3D Control and Reasoning
  Without a Supercomputer
Deep Reinforcement Learning on a Budget: 3D Control and Reasoning Without a Supercomputer
E. Beeching
Christian Wolf
J. Dibangoye
Olivier Simonin
OffRL
LRM
35
25
0
03 Apr 2019
Autoregressive Policies for Continuous Control Deep Reinforcement
  Learning
Autoregressive Policies for Continuous Control Deep Reinforcement Learning
D. Korenkevych
A. R. Mahmood
Gautham Vasan
James Bergstra
29
28
0
27 Mar 2019
Macro Action Reinforcement Learning with Sequence Disentanglement using
  Variational Autoencoder
Macro Action Reinforcement Learning with Sequence Disentanglement using Variational Autoencoder
Heecheol Kim
Masanori Yamada
Kosuke Miyoshi
Hiroshi Yamakawa
DRL
16
6
0
22 Mar 2019
Long range teleoperation for fine manipulation tasks under time-delay
  network conditions
Long range teleoperation for fine manipulation tasks under time-delay network conditions
Jun Jin
Laura Petrich
Shida He
Masood Dehghan
Martin Jägersand
38
3
0
21 Mar 2019
Learning Gentle Object Manipulation with Curiosity-Driven Deep
  Reinforcement Learning
Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning
Sandy H. Huang
Martina Zambelli
Jackie Kay
M. Martins
Yuval Tassa
P. Pilarski
R. Hadsell
28
50
0
20 Mar 2019
GRIP: Generative Robust Inference and Perception for Semantic Robot
  Manipulation in Adversarial Environments
GRIP: Generative Robust Inference and Perception for Semantic Robot Manipulation in Adversarial Environments
Xiaotong Chen
Rui Chen
Zhiqiang Sui
Zhefan Ye
Yanqi Liu
R. I. Bahar
Odest Chadwicke Jenkins
27
23
0
20 Mar 2019
Hindsight Generative Adversarial Imitation Learning
Hindsight Generative Adversarial Imitation Learning
N. Liu
Tao Lu
Yinghao Cai
Boyao Li
Shuo Wang
27
6
0
19 Mar 2019
Trajectory Optimization for Unknown Constrained Systems using
  Reinforcement Learning
Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning
Keita Ota
Devesh K. Jha
Tomoaki Oiki
Mamoru Miura
Takashi Nammoto
D. Nikovski
T. Mariyama
35
26
0
13 Mar 2019
Sample-Efficient Model-Free Reinforcement Learning with Off-Policy
  Critics
Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics
Denis Steckelmacher
Hélène Plisnier
D. Roijers
A. Nowé
OffRL
26
17
0
11 Mar 2019
Affordance Learning for End-to-End Visuomotor Robot Control
Affordance Learning for End-to-End Visuomotor Robot Control
Aleksi Hämäläinen
Karol Arndt
Ali Ghadirzadeh
Ville Kyrki
38
48
0
10 Mar 2019
Pixel-Attentive Policy Gradient for Multi-Fingered Grasping in Cluttered
  Scenes
Pixel-Attentive Policy Gradient for Multi-Fingered Grasping in Cluttered Scenes
Bohan Wu
Iretiayo Akinola
Peter K. Allen
22
34
0
08 Mar 2019
RLOC: Neurobiologically Inspired Hierarchical Reinforcement Learning
  Algorithm for Continuous Control of Nonlinear Dynamical Systems
RLOC: Neurobiologically Inspired Hierarchical Reinforcement Learning Algorithm for Continuous Control of Nonlinear Dynamical Systems
E. Abramova
Luke Dickens
Daniel Kuhn
A. Faisal
16
3
0
07 Mar 2019
Combining Optimal Control and Learning for Visual Navigation in Novel
  Environments
Combining Optimal Control and Learning for Visual Navigation in Novel Environments
Somil Bansal
Varun Tolani
Saurabh Gupta
Jitendra Malik
Claire Tomlin
13
162
0
06 Mar 2019
Towards Learning Abstract Representations for Locomotion Planning in
  High-dimensional State Spaces
Towards Learning Abstract Representations for Locomotion Planning in High-dimensional State Spaces
Tobias Klamt
Sven Behnke
18
10
0
06 Mar 2019
Deep Active Localization
Deep Active Localization
S. Gottipati
K. Seo
Dhaivat Bhatt
Vincent Mai
Krishna Murthy Jatavallabhula
Liam Paull
13
37
0
05 Mar 2019
Robot Learning via Human Adversarial Games
Robot Learning via Human Adversarial Games
Jiali Duan
Qian Wang
Lerrel Pinto
C.-C. Jay Kuo
Stefanos Nikolaidis
AAML
SSL
22
7
0
02 Mar 2019
Improving Data Efficiency of Self-supervised Learning for Robotic
  Grasping
Improving Data Efficiency of Self-supervised Learning for Robotic Grasping
Lars Berscheid
T. Rühr
Torsten Kröger
28
30
0
01 Mar 2019
From explanation to synthesis: Compositional program induction for
  learning from demonstration
From explanation to synthesis: Compositional program induction for learning from demonstration
Michael G. Burke
Svetlin Penkov
S. Ramamoorthy
25
20
0
27 Feb 2019
Neural Packet Classification
Neural Packet Classification
Eric Liang
Hang Zhu
Xin Jin
Ion Stoica
OffRL
37
120
0
27 Feb 2019
Long-Range Indoor Navigation with PRM-RL
Long-Range Indoor Navigation with PRM-RL
Anthony G. Francis
Aleksandra Faust
H. Chiang
Jasmine Hsu
J. Kew
Marek Fiser
T. Lee
21
141
0
25 Feb 2019
World Discovery Models
World Discovery Models
M. G. Azar
Bilal Piot
Bernardo Avila-Pires
Jean-Bastien Grill
Florent Altché
Rémi Munos
23
26
0
20 Feb 2019
Curiosity-Driven Experience Prioritization via Density Estimation
Curiosity-Driven Experience Prioritization via Density Estimation
Rui Zhao
Volker Tresp
29
54
0
20 Feb 2019
Visual search and recognition for robot task execution and monitoring
Visual search and recognition for robot task execution and monitoring
L. Mauro
Francesco Puja
S. Grazioso
Valsamis Ntouskos
Marta Sanzari
Edoardo Alati
F. Pirri
30
9
0
07 Feb 2019
Virtual Training for a Real Application: Accurate Object-Robot Relative
  Localization without Calibration
Virtual Training for a Real Application: Accurate Object-Robot Relative Localization without Calibration
Vianney Loing
Renaud Marlet
Mathieu Aubry
29
23
0
07 Feb 2019
Dynamic-Weighted Simplex Strategy for Learning Enabled Cyber Physical
  Systems
Dynamic-Weighted Simplex Strategy for Learning Enabled Cyber Physical Systems
Shreyas Ramakrishna
Charles Hartsell
Matthew P. Burruss
G. Karsai
A. Dubey
29
14
0
06 Feb 2019
Go-Explore: a New Approach for Hard-Exploration Problems
Go-Explore: a New Approach for Hard-Exploration Problems
Adrien Ecoffet
Joost Huizinga
Joel Lehman
Kenneth O. Stanley
Jeff Clune
AI4TS
24
363
0
30 Jan 2019
Discretizing Continuous Action Space for On-Policy Optimization
Discretizing Continuous Action Space for On-Policy Optimization
Yunhao Tang
Shipra Agrawal
OffRL
26
118
0
29 Jan 2019
Lyapunov-based Safe Policy Optimization for Continuous Control
Lyapunov-based Safe Policy Optimization for Continuous Control
Yinlam Chow
Ofir Nachum
Aleksandra Faust
Edgar A. Duénez-Guzmán
Mohammad Ghavamzadeh
33
244
0
28 Jan 2019
Designing a Multi-Objective Reward Function for Creating Teams of
  Robotic Bodyguards Using Deep Reinforcement Learning
Designing a Multi-Objective Reward Function for Creating Teams of Robotic Bodyguards Using Deep Reinforcement Learning
Hassam Sheikh
Ladislau Bölöni
20
3
0
28 Jan 2019
Ablation Studies in Artificial Neural Networks
Ablation Studies in Artificial Neural Networks
Richard Meyes
Melanie Lu
Constantin Waubert de Puiseau
Tobias Meisen
16
210
0
24 Jan 2019
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