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Asynchronous Methods for Deep Reinforcement Learning

Asynchronous Methods for Deep Reinforcement Learning

4 February 2016
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
ArXivPDFHTML

Papers citing "Asynchronous Methods for Deep Reinforcement Learning"

50 / 1,517 papers shown
Title
Hierarchical Imitation and Reinforcement Learning
Hierarchical Imitation and Reinforcement Learning
Hoang Minh Le
Nan Jiang
Alekh Agarwal
Miroslav Dudík
Yisong Yue
Hal Daumé
19
190
0
01 Mar 2018
Investigating Human Priors for Playing Video Games
Investigating Human Priors for Playing Video Games
Rachit Dubey
Pulkit Agrawal
Deepak Pathak
Thomas Griffiths
Alexei A. Efros
OffRL
33
144
0
28 Feb 2018
Latent-space Physics: Towards Learning the Temporal Evolution of Fluid
  Flow
Latent-space Physics: Towards Learning the Temporal Evolution of Fluid Flow
S. Wiewel
M. Becher
N. Thürey
AI4CE
26
273
0
27 Feb 2018
The Mirage of Action-Dependent Baselines in Reinforcement Learning
The Mirage of Action-Dependent Baselines in Reinforcement Learning
George Tucker
Surya Bhupatiraju
S. Gu
Richard Turner
Zoubin Ghahramani
Sergey Levine
OffRL
30
126
0
27 Feb 2018
Real-Time Bidding with Multi-Agent Reinforcement Learning in Display
  Advertising
Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising
Junqi Jin
Cheng-Ning Song
Han Li
Kun Gai
Jun Wang
Weinan Zhang
24
175
0
27 Feb 2018
Modeling Others using Oneself in Multi-Agent Reinforcement Learning
Modeling Others using Oneself in Multi-Agent Reinforcement Learning
Roberta Raileanu
Emily L. Denton
Arthur Szlam
Rob Fergus
28
199
0
26 Feb 2018
Demystifying Parallel and Distributed Deep Learning: An In-Depth
  Concurrency Analysis
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis
Tal Ben-Nun
Torsten Hoefler
GNN
33
703
0
26 Feb 2018
Back to Basics: Benchmarking Canonical Evolution Strategies for Playing
  Atari
Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari
P. Chrabaszcz
I. Loshchilov
Frank Hutter
32
99
0
24 Feb 2018
Reinforcement Learning on Web Interfaces Using Workflow-Guided
  Exploration
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration
E. Liu
Kelvin Guu
Panupong Pasupat
Tianlin Shi
Percy Liang
OnRL
24
207
0
24 Feb 2018
Fully Decentralized Multi-Agent Reinforcement Learning with Networked
  Agents
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents
Kaipeng Zhang
Zhuoran Yang
Han Liu
Tong Zhang
Tamer Basar
43
582
0
23 Feb 2018
Structured Control Nets for Deep Reinforcement Learning
Structured Control Nets for Deep Reinforcement Learning
Mario Srouji
Jian Zhang
Ruslan Salakhutdinov
33
43
0
22 Feb 2018
Clipped Action Policy Gradient
Clipped Action Policy Gradient
Yasuhiro Fujita
S. Maeda
OffRL
34
37
0
21 Feb 2018
Global Pose Estimation with an Attention-based Recurrent Network
Global Pose Estimation with an Attention-based Recurrent Network
Emilio Parisotto
Devendra Singh Chaplot
Jian Zhang
Ruslan Salakhutdinov
26
70
0
19 Feb 2018
Accelerated Primal-Dual Policy Optimization for Safe Reinforcement
  Learning
Accelerated Primal-Dual Policy Optimization for Safe Reinforcement Learning
Qingkai Liang
Fanyu Que
E. Modiano
15
101
0
19 Feb 2018
Sim-to-Real Optimization of Complex Real World Mobile Network with
  Imperfect Information via Deep Reinforcement Learning from Self-play
Sim-to-Real Optimization of Complex Real World Mobile Network with Imperfect Information via Deep Reinforcement Learning from Self-play
Yongxi Tan
Jin Yang
Xin Chen
Qitao Song
Yunjun Chen
Zhangxiang Ye
Zhenqiang Su
22
2
0
18 Feb 2018
Reinforcement Learning for Solving the Vehicle Routing Problem
Reinforcement Learning for Solving the Vehicle Routing Problem
M. Nazari
Afshin Oroojlooy
L. Snyder
Martin Takáč
44
877
0
12 Feb 2018
Taking gradients through experiments: LSTMs and memory proximal policy
  optimization for black-box quantum control
Taking gradients through experiments: LSTMs and memory proximal policy optimization for black-box quantum control
Moritz August
José Miguel Hernández-Lobato
26
41
0
12 Feb 2018
Path Consistency Learning in Tsallis Entropy Regularized MDPs
Path Consistency Learning in Tsallis Entropy Regularized MDPs
Ofir Nachum
Yinlam Chow
Mohammad Ghavamzadeh
26
45
0
10 Feb 2018
Precision medicine as a control problem: Using simulation and deep
  reinforcement learning to discover adaptive, personalized multi-cytokine
  therapy for sepsis
Precision medicine as a control problem: Using simulation and deep reinforcement learning to discover adaptive, personalized multi-cytokine therapy for sepsis
Brenden K. Petersen
Jiachen Yang
Will Grathwohl
Chase Cockrell
Claudio Santiago
G. An
Daniel Faissol
AI4CE
15
26
0
08 Feb 2018
A Critical Investigation of Deep Reinforcement Learning for Navigation
A Critical Investigation of Deep Reinforcement Learning for Navigation
Vikas Dhiman
Shurjo Banerjee
Brent A. Griffin
J. Siskind
Jason J. Corso
35
36
0
07 Feb 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted
  Actor-Learner Architectures
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
L. Espeholt
Hubert Soyer
Rémi Munos
Karen Simonyan
Volodymyr Mnih
...
Vlad Firoiu
Tim Harley
Iain Dunning
Shane Legg
Koray Kavukcuoglu
42
1,577
0
05 Feb 2018
Learning Parametric Closed-Loop Policies for Markov Potential Games
Learning Parametric Closed-Loop Policies for Markov Potential Games
Sergio Valcarcel Macua
Javier Zazo
S. Zazo
20
46
0
03 Feb 2018
Virtual-to-Real: Learning to Control in Visual Semantic Segmentation
Virtual-to-Real: Learning to Control in Visual Semantic Segmentation
Zhang-Wei Hong
Yu-Ming Chen
Shih-Yang Su
Tzu-Yun Shann
Yi-Hsiang Chang
...
Yueh-Chuan Chang
Tsu-Ching Hsiao
Hsin-Wei Hsiao
Sih-Pin Lai
Chun-Yi Lee
32
81
0
01 Feb 2018
VR-Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control
VR-Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control
Jingwei Zhang
L. Tai
Peng Yun
Yufeng Xiong
Ming Liu
Joschka Boedecker
Wolfram Burgard
21
122
0
01 Feb 2018
Pretraining Deep Actor-Critic Reinforcement Learning Algorithms With
  Expert Demonstrations
Pretraining Deep Actor-Critic Reinforcement Learning Algorithms With Expert Demonstrations
Xiaoqin Zhang
Huimin Ma
OffRL
32
38
0
31 Jan 2018
Deep Reinforcement Learning using Capsules in Advanced Game Environments
Deep Reinforcement Learning using Capsules in Advanced Game Environments
Per-Arne Andersen
18
16
0
29 Jan 2018
FlashRL: A Reinforcement Learning Platform for Flash Games
FlashRL: A Reinforcement Learning Platform for Flash Games
Per-Arne Andersen
M. G. Olsen
Ole-Christoffer Granmo
VLM
29
2
0
26 Jan 2018
Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents
Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents
Joel Z Leibo
Cyprien de Masson dÁutume
Daniel Zoran
David Amos
Charlie Beattie
...
Simon Green
A. Gruslys
Shane Legg
Demis Hassabis
M. Botvinick
24
78
0
24 Jan 2018
Logically-Constrained Reinforcement Learning
Logically-Constrained Reinforcement Learning
Mohammadhosein Hasanbeig
Alessandro Abate
Daniel Kroening
9
82
0
24 Jan 2018
Experience-driven Networking: A Deep Reinforcement Learning based
  Approach
Experience-driven Networking: A Deep Reinforcement Learning based Approach
Zhiyuan Xu
Jian Tang
Jingsong Meng
Weiyi Zhang
Yanzhi Wang
C. Liu
Dejun Yang
OffRL
27
359
0
17 Jan 2018
An Empirical Analysis of Proximal Policy Optimization with
  Kronecker-factored Natural Gradients
An Empirical Analysis of Proximal Policy Optimization with Kronecker-factored Natural Gradients
Jiaming Song
Yuhuai Wu
27
2
0
17 Jan 2018
Deep Reinforcement Learning of Cell Movement in the Early Stage of C.
  elegans Embryogenesis
Deep Reinforcement Learning of Cell Movement in the Early Stage of C. elegans Embryogenesis
Zehao Wang
Dali Wang
Chengcheng Li
Yichi Xu
Husheng Li
Z. Bao
32
35
0
14 Jan 2018
Expected Policy Gradients for Reinforcement Learning
Expected Policy Gradients for Reinforcement Learning
K. Ciosek
Shimon Whiteson
50
51
0
10 Jan 2018
Distributed Deep Reinforcement Learning: Learn how to play Atari games
  in 21 minutes
Distributed Deep Reinforcement Learning: Learn how to play Atari games in 21 minutes
Igor Adamski
R. Adamski
T. Grel
Adam Jedrych
Kamil Kaczmarek
Henryk Michalewski
OffRL
41
37
0
09 Jan 2018
DeepTraffic: Crowdsourced Hyperparameter Tuning of Deep Reinforcement
  Learning Systems for Multi-Agent Dense Traffic Navigation
DeepTraffic: Crowdsourced Hyperparameter Tuning of Deep Reinforcement Learning Systems for Multi-Agent Dense Traffic Navigation
Lex Fridman
Jack Terwilliger
Benedikt Jenik
32
24
0
09 Jan 2018
Building Generalizable Agents with a Realistic and Rich 3D Environment
Building Generalizable Agents with a Realistic and Rich 3D Environment
Yi Wu
Yuxin Wu
Georgia Gkioxari
Yuandong Tian
3DV
62
338
0
07 Jan 2018
DeepMind Control Suite
DeepMind Control Suite
Yuval Tassa
Yotam Doron
Alistair Muldal
Tom Erez
Yazhe Li
...
A. Abdolmaleki
J. Merel
Andrew Lefrancq
Timothy Lillicrap
Martin Riedmiller
ELM
LM&Ro
BDL
47
1,099
0
02 Jan 2018
SBEED: Convergent Reinforcement Learning with Nonlinear Function
  Approximation
SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation
Bo Dai
Albert Eaton Shaw
Lihong Li
Lin Xiao
Niao He
Zhen Liu
Jianshu Chen
Le Song
34
25
0
29 Dec 2017
Boosting the Actor with Dual Critic
Boosting the Actor with Dual Critic
Bo Dai
Albert Eaton Shaw
Niao He
Lihong Li
Le Song
35
46
0
29 Dec 2017
A short variational proof of equivalence between policy gradients and
  soft Q learning
A short variational proof of equivalence between policy gradients and soft Q learning
Pierre Harvey Richemond
B. Maginnis
16
5
0
22 Dec 2017
Learning in the Machine: the Symmetries of the Deep Learning Channel
Learning in the Machine: the Symmetries of the Deep Learning Channel
Pierre Baldi
Peter Sadowski
Zhiqin Lu
19
30
0
22 Dec 2017
Sim2Real View Invariant Visual Servoing by Recurrent Control
Sim2Real View Invariant Visual Servoing by Recurrent Control
Fereshteh Sadeghi
Alexander Toshev
Eric Jang
Sergey Levine
19
98
0
20 Dec 2017
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative
  for Training Deep Neural Networks for Reinforcement Learning
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning
F. Such
Vashisht Madhavan
Edoardo Conti
Joel Lehman
Kenneth O. Stanley
Jeff Clune
47
686
0
18 Dec 2017
Deep Reinforcement Learning Boosted by External Knowledge
Deep Reinforcement Learning Boosted by External Knowledge
Nicolas Bougie
R. Ichise
OffRL
25
15
0
12 Dec 2017
Deep Primal-Dual Reinforcement Learning: Accelerating Actor-Critic using
  Bellman Duality
Deep Primal-Dual Reinforcement Learning: Accelerating Actor-Critic using Bellman Duality
W. Cho
Mengdi Wang
OffRL
33
14
0
07 Dec 2017
AI Safety Gridworlds
AI Safety Gridworlds
Jan Leike
Miljan Martic
Victoria Krakovna
Pedro A. Ortega
Tom Everitt
Andrew Lefrancq
Laurent Orseau
Shane Legg
23
250
0
27 Nov 2017
Cascade Attribute Learning Network
Cascade Attribute Learning Network
Zhuo Xu
Haonan Chang
Masayoshi Tomizuka
33
4
0
24 Nov 2017
Teaching a Machine to Read Maps with Deep Reinforcement Learning
Teaching a Machine to Read Maps with Deep Reinforcement Learning
Gino Brunner
Oliver Richter
Yuyi Wang
Roger Wattenhofer
3DV
27
52
0
20 Nov 2017
Scalable Recollections for Continual Lifelong Learning
Scalable Recollections for Continual Lifelong Learning
Matthew D Riemer
Tim Klinger
Djallel Bouneffouf
M. Franceschini
CLL
24
62
0
17 Nov 2017
Applications of Deep Learning and Reinforcement Learning to Biological
  Data
Applications of Deep Learning and Reinforcement Learning to Biological Data
M. S. M. Mahmud
M. S. Kaiser
Amir Hussain
S. Vassanelli
OffRL
AI4CE
41
641
0
10 Nov 2017
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