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Continuous control with deep reinforcement learning
v1v2v3v4v5v6 (latest)

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
ArXiv (abs)PDFHTML

Papers citing "Continuous control with deep reinforcement learning"

50 / 4,797 papers shown
Action-depedent Control Variates for Policy Optimization via Stein's
  Identity
Action-depedent Control Variates for Policy Optimization via Stein's Identity
Hao Liu
Yihao Feng
Yi Mao
Dengyong Zhou
Jian-wei Peng
Qiang Liu
298
4
0
30 Oct 2017
Diff-DAC: Distributed Actor-Critic for Average Multitask Deep
  Reinforcement Learning
Diff-DAC: Distributed Actor-Critic for Average Multitask Deep Reinforcement Learning
Sergio Valcarcel Macua
Aleksi Tukiainen
D. Hernández
David Baldazo
Enrique Munoz de Cote
S. Zazo
345
31
0
28 Oct 2017
Asymmetric Actor Critic for Image-Based Robot Learning
Asymmetric Actor Critic for Image-Based Robot Learning
Lerrel Pinto
Marcin Andrychowicz
Peter Welinder
Wojciech Zaremba
Pieter Abbeel
OffRL
225
449
0
18 Oct 2017
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization
Xue Bin Peng
Marcin Andrychowicz
Wojciech Zaremba
Pieter Abbeel
535
1,536
0
18 Oct 2017
Map-based Multi-Policy Reinforcement Learning: Enhancing Adaptability of
  Robots by Deep Reinforcement Learning
Map-based Multi-Policy Reinforcement Learning: Enhancing Adaptability of Robots by Deep Reinforcement Learning
A. Kume
Eiichi Matsumoto
K. Takahashi
W. Ko
Jethro Tan
148
12
0
17 Oct 2017
Deep Imitation Learning for Complex Manipulation Tasks from Virtual
  Reality Teleoperation
Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation
Tianhao Zhang
Zoe McCarthy
Owen Jow
Dennis Lee
Xi Chen
Ken Goldberg
Pieter Abbeel
SSL
420
724
0
12 Oct 2017
Combining Learned and Analytical Models for Predicting Action Effects
  from Sensory Data
Combining Learned and Analytical Models for Predicting Action Effects from Sensory Data
Alina Kloss
S. Schaal
Jeannette Bohg
196
88
0
11 Oct 2017
PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement
  Learning and Sampling-based Planning
PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning
Aleksandra Faust
Oscar Ramirez
Marek Fiser
Kenneth Oslund
Anthony G. Francis
James Davidson
Lydia Tapia
238
314
0
11 Oct 2017
Deep Reinforcement Learning: Framework, Applications, and Embedded
  Implementations
Deep Reinforcement Learning: Framework, Applications, and Embedded Implementations
Hongjia Li
Tianshu Wei
Ao Ren
Qi Zhu
Yanzhi Wang
OffRLAI4CE
83
46
0
10 Oct 2017
Emergent Complexity via Multi-Agent Competition
Emergent Complexity via Multi-Agent Competition
Trapit Bansal
J. Pachocki
Szymon Sidor
Ilya Sutskever
Igor Mordatch
300
418
0
10 Oct 2017
Recurrent Deterministic Policy Gradient Method for Bipedal Locomotion on
  Rough Terrain Challenge
Recurrent Deterministic Policy Gradient Method for Bipedal Locomotion on Rough Terrain Challenge
Doo Re Song
Chuanyu Yang
C. McGreavy
Zhibin Li
388
32
0
08 Oct 2017
Parameter Sharing Deep Deterministic Policy Gradient for Cooperative
  Multi-agent Reinforcement Learning
Parameter Sharing Deep Deterministic Policy Gradient for Cooperative Multi-agent Reinforcement Learning
Xiangxiang Chu
Hangjun Ye
142
61
0
01 Oct 2017
Self-supervised Deep Reinforcement Learning with Generalized Computation
  Graphs for Robot Navigation
Self-supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation
G. Kahn
Adam R. Villaflor
Bosen Ding
Pieter Abbeel
Sergey Levine
SSL
257
310
0
29 Sep 2017
Shaping in Practice: Training Wheels to Learn Fast Hopping Directly in
  Hardware
Shaping in Practice: Training Wheels to Learn Fast Hopping Directly in Hardware
Steve Heim
Felix Ruppert
A. A. Sarvestani
Alexander Badri-Spröwitz
66
8
0
29 Sep 2017
Overcoming Exploration in Reinforcement Learning with Demonstrations
Overcoming Exploration in Reinforcement Learning with Demonstrations
Ashvin Nair
Bob McGrew
Marcin Andrychowicz
Wojciech Zaremba
Pieter Abbeel
OffRL
530
855
0
28 Sep 2017
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning
  and Demonstrations
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations
Aravind Rajeswaran
Vikash Kumar
Abhishek Gupta
Giulia Vezzani
John Schulman
E. Todorov
Sergey Levine
463
1,264
0
28 Sep 2017
A Benchmark Environment Motivated by Industrial Control Problems
A Benchmark Environment Motivated by Industrial Control Problems
D. Hein
Stefan Depeweg
Michel Tokic
Steffen Udluft
A. Hentschel
Thomas Runkler
V. Sterzing
OffRL
189
64
0
27 Sep 2017
Towards continuous control of flippers for a multi-terrain robot using
  deep reinforcement learning
Towards continuous control of flippers for a multi-terrain robot using deep reinforcement learning
Giuseppe Paolo
L. Tai
Ming-Yuan Liu
48
9
0
25 Sep 2017
Learning Unmanned Aerial Vehicle Control for Autonomous Target Following
Learning Unmanned Aerial Vehicle Control for Autonomous Target Following
Siyi Li
Tianbo Liu
Fangqiu Yi
Dit-Yan Yeung
Shaojie Shen
95
40
0
24 Sep 2017
Multi-task Learning with Gradient Guided Policy Specialization
Multi-task Learning with Gradient Guided Policy Specialization
Wenhao Yu
Chenxi Liu
Greg Turk
99
3
0
23 Sep 2017
Expanding Motor Skills through Relay Neural Networks
Expanding Motor Skills through Relay Neural Networks
Visak C. V. Kumar
Sehoon Ha
Chenxi Liu
54
2
0
22 Sep 2017
Avoidance of Manual Labeling in Robotic Autonomous Navigation Through
  Multi-Sensory Semi-Supervised Learning
Avoidance of Manual Labeling in Robotic Autonomous Navigation Through Multi-Sensory Semi-Supervised Learning
Junhong Xu
Shangyue Zhu
Hanqing Guo
Shaoen Wu
SSL
211
4
0
22 Sep 2017
Local Communication Protocols for Learning Complex Swarm Behaviors with
  Deep Reinforcement Learning
Local Communication Protocols for Learning Complex Swarm Behaviors with Deep Reinforcement Learning
Maximilian Hüttenrauch
Adrian Šošić
Gerhard Neumann
84
3
0
21 Sep 2017
A Deep-Reinforcement Learning Approach for Software-Defined Networking
  Routing Optimization
A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization
Giorgio Stampa
M. Arias
David Sánchez-Charles
V. Muntés-Mulero
A. Cabellos-Aparicio
90
184
0
20 Sep 2017
Deep Reinforcement Learning for Dexterous Manipulation with Concept
  Networks
Deep Reinforcement Learning for Dexterous Manipulation with Concept Networks
Aditya Gudimella
Ross Story
M. Shaker
Ruofan Kong
Matthew A. Brown
Victor Shnayder
Marcos Campos
94
24
0
20 Sep 2017
Bayesian Optimization with Automatic Prior Selection for Data-Efficient
  Direct Policy Search
Bayesian Optimization with Automatic Prior Selection for Data-Efficient Direct Policy Search
Rémi Pautrat
Konstantinos Chatzilygeroudis
Jean-Baptiste Mouret
168
44
0
20 Sep 2017
Transfer learning from synthetic to real images using variational
  autoencoders for robotic applications
Transfer learning from synthetic to real images using variational autoencoders for robotic applications
Tadanobu Inoue
Subhajit Chaudhury
Giovanni De Magistris
Sakyasingha Dasgupta
141
20
0
20 Sep 2017
Sparse Markov Decision Processes with Causal Sparse Tsallis Entropy
  Regularization for Reinforcement Learning
Sparse Markov Decision Processes with Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning
Kyungjae Lee
Sungjoon Choi
Songhwai Oh
315
69
0
19 Sep 2017
Deep Reinforcement Learning that Matters
Deep Reinforcement Learning that Matters
Peter Henderson
Riashat Islam
Philip Bachman
Joelle Pineau
Doina Precup
David Meger
OffRL
483
2,146
0
19 Sep 2017
Guided Deep Reinforcement Learning for Swarm Systems
Guided Deep Reinforcement Learning for Swarm Systems
Maximilian Hüttenrauch
Adrian Šošić
Gerhard Neumann
157
145
0
18 Sep 2017
Transforming Cooling Optimization for Green Data Center via Deep
  Reinforcement Learning
Transforming Cooling Optimization for Green Data Center via Deep Reinforcement Learning
Yuanlong Li
Yonggang Wen
K. Guan
Dacheng Tao
AI4CE
315
207
0
15 Sep 2017
A Study of AI Population Dynamics with Million-agent Reinforcement
  Learning
A Study of AI Population Dynamics with Million-agent Reinforcement Learning
Yaodong Yang
Lantao Yu
Yiwei Bai
Jun Wang
Weinan Zhang
Ying Wen
Yong Yu
176
7
0
13 Sep 2017
Automated Cloud Provisioning on AWS using Deep Reinforcement Learning
Automated Cloud Provisioning on AWS using Deep Reinforcement Learning
Zhiguang Wang
C. Gwon
Tim Oates
A. Iezzi
178
27
0
13 Sep 2017
Deep Reinforcement Learning with Surrogate Agent-Environment Interface
Deep Reinforcement Learning with Surrogate Agent-Environment Interface
Songli Wang
Yutao Jing
92
1
0
12 Sep 2017
Mean Actor Critic
Mean Actor Critic
Cameron Allen
Kavosh Asadi
Melrose Roderick
Abdel-rahman Mohamed
George Konidaris
Michael Littman
183
45
0
01 Sep 2017
Deep Learning for Video Game Playing
Deep Learning for Video Game Playing
Niels Justesen
Philip Bontrager
Julian Togelius
S. Risi
VLM
262
229
0
25 Aug 2017
Reinforcement Mechanism Design for e-commerce
Reinforcement Mechanism Design for e-commerce
Qingpeng Cai
Aris Filos-Ratsikas
Pingzhong Tang
Yiwei Zhang
100
4
0
25 Aug 2017
Teaching UAVs to Race: End-to-End Regression of Agile Controls in
  Simulation
Teaching UAVs to Race: End-to-End Regression of Agile Controls in Simulation
Matthias Mueller
Vincent Casser
Neil G. Smith
D. L. Michels
Guohao Li
201
10
0
19 Aug 2017
Sim4CV: A Photo-Realistic Simulator for Computer Vision Applications
Sim4CV: A Photo-Realistic Simulator for Computer Vision Applications
Matthias Muller
Vincent Casser
Jean Lahoud
Neil G. Smith
Guohao Li
VGen
238
198
0
19 Aug 2017
A Brief Survey of Deep Reinforcement Learning
A Brief Survey of Deep Reinforcement Learning
Kai Arulkumaran
M. Deisenroth
Miles Brundage
Anil Anthony Bharath
OffRL
395
2,830
0
19 Aug 2017
Scalable trust-region method for deep reinforcement learning using
  Kronecker-factored approximation
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation
Yuhuai Wu
Elman Mansimov
Shun Liao
Roger C. Grosse
Jimmy Ba
OffRL
377
660
0
17 Aug 2017
Deep Reinforcement Learning for High Precision Assembly Tasks
Deep Reinforcement Learning for High Precision Assembly TasksIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2017
Tadanobu Inoue
Giovanni De Magistris
Asim Munawar
T. Yokoya
Ryuki Tachibana
277
285
0
14 Aug 2017
Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for
  Continuous Control
Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control
Riashat Islam
Peter Henderson
Maziar Gomrokchi
Doina Precup
BDLOffRL
239
274
0
10 Aug 2017
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with
  Model-Free Fine-Tuning
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-TuningIEEE International Conference on Robotics and Automation (ICRA), 2017
Anusha Nagabandi
G. Kahn
R. Fearing
Sergey Levine
348
1,039
0
08 Aug 2017
GPLAC: Generalizing Vision-Based Robotic Skills using Weakly Labeled
  Images
GPLAC: Generalizing Vision-Based Robotic Skills using Weakly Labeled ImagesIEEE International Conference on Computer Vision (ICCV), 2017
Avi Singh
Larry Yang
Sergey Levine
139
23
0
07 Aug 2017
Query-guided Regression Network with Context Policy for Phrase Grounding
Query-guided Regression Network with Context Policy for Phrase Grounding
Kan Chen
Rama Kovvuri
Ram Nevatia
159
145
0
04 Aug 2017
Deep Reinforcement Learning for Inquiry Dialog Policies with Logical
  Formula Embeddings
Deep Reinforcement Learning for Inquiry Dialog Policies with Logical Formula Embeddings
Takuya Hiraoka
Masaaki Tsuchida
Yotaro Watanabe
64
0
0
02 Aug 2017
Robust Physical-World Attacks on Deep Learning Models
Robust Physical-World Attacks on Deep Learning Models
Kevin Eykholt
Ivan Evtimov
Earlence Fernandes
Yue Liu
Amir Rahmati
Chaowei Xiao
Atul Prakash
Tadayoshi Kohno
Basel Alomair
AAML
475
603
0
27 Jul 2017
Leveraging Demonstrations for Deep Reinforcement Learning on Robotics
  Problems with Sparse Rewards
Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards
Matej Vecerík
Todd Hester
Jonathan Scholz
Fumin Wang
Olivier Pietquin
Bilal Piot
N. Heess
Thomas Rothörl
Thomas Lampe
Martin Riedmiller
OffRL
311
733
0
27 Jul 2017
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
I. Higgins
Arka Pal
Andrei A. Rusu
Loic Matthey
Christopher P. Burgess
Alexander Pritzel
M. Botvinick
Charles Blundell
Alexander Lerchner
DRL
317
437
0
26 Jul 2017
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