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Continuous control with deep reinforcement learning

Continuous control with deep reinforcement learning

9 September 2015
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
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Papers citing "Continuous control with deep reinforcement learning"

50 / 3,416 papers shown
Title
Learning to Navigate Cloth using Haptics
Learning to Navigate Cloth using Haptics
Alexander Clegg
Wenhao Yu
Zackory M. Erickson
Jie Tan
Chenxi Liu
Greg Turk
32
23
0
20 Mar 2017
Vision-based Robotic Arm Imitation by Human Gesture
Vision-based Robotic Arm Imitation by Human Gesture
Cheng Xuan
Zhiqiang Tang
Jinxin Xu
22
0
0
15 Mar 2017
Sensor Fusion for Robot Control through Deep Reinforcement Learning
Sensor Fusion for Robot Control through Deep Reinforcement Learning
Steven Bohez
Tim Verbelen
E. D. Coninck
B. Vankeirsbilck
Pieter Simoens
Bart Dhoedt
SSL
18
29
0
13 Mar 2017
Combining Model-Based and Model-Free Updates for Trajectory-Centric
  Reinforcement Learning
Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning
Yevgen Chebotar
Karol Hausman
Marvin Zhang
Gaurav Sukhatme
S. Schaal
Sergey Levine
37
160
0
08 Mar 2017
Learning a Unified Control Policy for Safe Falling
Learning a Unified Control Policy for Safe Falling
Visak C. V. Kumar
Sehoon Ha
Karen Liu
25
19
0
08 Mar 2017
Towards Generalization and Simplicity in Continuous Control
Towards Generalization and Simplicity in Continuous Control
Aravind Rajeswaran
Kendall Lowrey
E. Todorov
Sham Kakade
OffRL
55
276
0
08 Mar 2017
Design and Development of an automated Robotic Pick & Stow System for an
  e-Commerce Warehouse
Design and Development of an automated Robotic Pick & Stow System for an e-Commerce Warehouse
S. Kumar
A. Majumder
S. Dutta
R. Raja
Sharath Jotawar
...
Venkat Raju
Olyvia Kundu
Ehtesham Hassan
K. Venkatesh
Rajesh Sinha
23
13
0
07 Mar 2017
Combining Self-Supervised Learning and Imitation for Vision-Based Rope
  Manipulation
Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation
Ashvin Nair
Dian Chen
Pulkit Agrawal
Phillip Isola
Pieter Abbeel
Jitendra Malik
Sergey Levine
SSL
12
306
0
06 Mar 2017
Deep Predictive Policy Training using Reinforcement Learning
Deep Predictive Policy Training using Reinforcement Learning
Ali Ghadirzadeh
A. Maki
Danica Kragic
Mårten Björkman
36
128
0
02 Mar 2017
Reinforcement Learning for Pivoting Task
Reinforcement Learning for Pivoting Task
Rika Antonova
S. Cruciani
Christian Smith
Danica Kragic
18
68
0
01 Mar 2017
Virtual-to-real Deep Reinforcement Learning: Continuous Control of
  Mobile Robots for Mapless Navigation
Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation
L. Tai
Giuseppe Paolo
Ming-Yuan Liu
28
704
0
01 Mar 2017
Bridging the Gap Between Value and Policy Based Reinforcement Learning
Bridging the Gap Between Value and Policy Based Reinforcement Learning
Ofir Nachum
Mohammad Norouzi
Kelvin Xu
Dale Schuurmans
53
468
0
28 Feb 2017
Learning Control for Air Hockey Striking using Deep Reinforcement
  Learning
Learning Control for Air Hockey Striking using Deep Reinforcement Learning
Ayal Taitler
N. Shimkin
23
10
0
26 Feb 2017
Robot gains Social Intelligence through Multimodal Deep Reinforcement
  Learning
Robot gains Social Intelligence through Multimodal Deep Reinforcement Learning
A. H. Qureshi
Yutaka Nakamura
Yuichiro Yoshikawa
H. Ishiguro
13
90
0
24 Feb 2017
Learning to Multi-Task by Active Sampling
Learning to Multi-Task by Active Sampling
Sahil Sharma
Ashutosh Jha
Parikshit Hegde
Balaraman Ravindran
21
21
0
20 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
42
306
0
08 Feb 2017
Trainable Greedy Decoding for Neural Machine Translation
Trainable Greedy Decoding for Neural Machine Translation
Jiatao Gu
Kyunghyun Cho
Victor O.K. Li
49
74
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
41
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
Learning Light Transport the Reinforced Way
Learning Light Transport the Reinforced Way
Ken Dahm
A. Keller
29
63
0
25 Jan 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
121
1,508
0
25 Jan 2017
The Predictron: End-To-End Learning and Planning
The Predictron: End-To-End Learning and Planning
David Silver
H. V. Hasselt
Matteo Hessel
Tom Schaul
A. Guez
...
Gabriel Dulac-Arnold
David P. Reichert
Neil C. Rabinowitz
André Barreto
T. Degris
23
289
0
28 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
Cryptocurrency Portfolio Management with Deep Reinforcement Learning
Cryptocurrency Portfolio Management with Deep Reinforcement Learning
Zhengyao Jiang
Jinjun Liang
AIFin
26
206
0
05 Dec 2016
Combining Deep Reinforcement Learning and Safety Based Control for
  Autonomous Driving
Combining Deep Reinforcement Learning and Safety Based Control for Autonomous Driving
Xincheng Xiong
Jianqiang Wang
Fang Zhang
Keqiang Li
54
66
0
01 Dec 2016
Nonparametric General Reinforcement Learning
Nonparametric General Reinforcement Learning
Jan Leike
OffRL
48
26
0
28 Nov 2016
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement
  Learning
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
Haoran Tang
Rein Houthooft
Davis Foote
Adam Stooke
Xi Chen
Yan Duan
John Schulman
F. Turck
Pieter Abbeel
OffRL
60
762
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
1,010
0
09 Nov 2016
Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic
Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic
S. Gu
Timothy Lillicrap
Zoubin Ghahramani
Richard Turner
Sergey Levine
OffRL
BDL
47
344
0
07 Nov 2016
Learning to Act by Predicting the Future
Learning to Act by Predicting the Future
Alexey Dosovitskiy
V. Koltun
54
280
0
06 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
Deep Learning Approximation for Stochastic Control Problems
Deep Learning Approximation for Stochastic Control Problems
Jiequn Han
E. Weinan
BDL
32
193
0
02 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
32
11
0
01 Nov 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
37
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
44
532
0
13 Oct 2016
Towards Cognitive Exploration through Deep Reinforcement Learning for
  Mobile Robots
Towards Cognitive Exploration through Deep Reinforcement Learning for Mobile Robots
L. Tai
Ming-Yuan Liu
27
103
0
06 Oct 2016
Deep Visual Foresight for Planning Robot Motion
Deep Visual Foresight for Planning Robot Motion
Chelsea Finn
Sergey Levine
59
778
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
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous
  Off-Policy Updates
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates
S. Gu
E. Holly
Timothy Lillicrap
Sergey Levine
OffRL
SSL
56
1,473
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
38
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
30
92
0
28 Sep 2016
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
217
608
0
22 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
32
108
0
13 Sep 2016
Partially Observable Markov Decision Process for Recommender Systems
Partially Observable Markov Decision Process for Recommender Systems
Zhongqi Lu
Qiang Yang
35
27
0
28 Aug 2016
An Actor-Critic Algorithm for Sequence Prediction
An Actor-Critic Algorithm for Sequence Prediction
Dzmitry Bahdanau
Philemon Brakel
Kelvin Xu
Anirudh Goyal
Ryan J. Lowe
Joelle Pineau
Aaron Courville
Yoshua Bengio
78
637
0
24 Jul 2016
Actor-critic versus direct policy search: a comparison based on sample
  complexity
Actor-critic versus direct policy search: a comparison based on sample complexity
Arnaud de Froissard de Broissia
Olivier Sigaud
34
12
0
29 Jun 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
Successor Features for Transfer in Reinforcement Learning
Successor Features for Transfer in Reinforcement Learning
André Barreto
Will Dabney
Rémi Munos
Jonathan J. Hunt
Tom Schaul
H. V. Hasselt
David Silver
19
565
0
16 Jun 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
44
1,689
0
22 Apr 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
117
2,067
0
07 Mar 2016
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