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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 / 1,767 papers shown
Title
Interpretable End-to-end Urban Autonomous Driving with Latent Deep
  Reinforcement Learning
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
Jianyu Chen
Shengbo Eben Li
Masayoshi Tomizuka
71
227
0
23 Jan 2020
Q-Learning in enormous action spaces via amortized approximate
  maximization
Q-Learning in enormous action spaces via amortized approximate maximization
T. Wiele
David Warde-Farley
A. Mnih
Volodymyr Mnih
34
60
0
22 Jan 2020
Cooperative Highway Work Zone Merge Control based on Reinforcement
  Learning in A Connected and Automated Environment
Cooperative Highway Work Zone Merge Control based on Reinforcement Learning in A Connected and Automated Environment
Tianzhu Ren
Yuanchang Xie
Liming Jiang
39
31
0
21 Jan 2020
Learning to Control PDEs with Differentiable Physics
Learning to Control PDEs with Differentiable Physics
Philipp Holl
V. Koltun
Nils Thuerey
AI4CE
PINN
56
186
0
21 Jan 2020
Multi-agent Motion Planning for Dense and Dynamic Environments via Deep
  Reinforcement Learning
Multi-agent Motion Planning for Dense and Dynamic Environments via Deep Reinforcement Learning
Samaneh Hosseini Semnani
H. Liu
Michael Everett
A. D. de Ruiter
Jonathan P. How
14
111
0
18 Jan 2020
Algorithms in Multi-Agent Systems: A Holistic Perspective from
  Reinforcement Learning and Game Theory
Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory
Yunlong Lu
Kai Yan
AI4CE
45
13
0
17 Jan 2020
PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning
PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning
Dor Livne
Kobi Cohen
37
50
0
14 Jan 2020
Population-Guided Parallel Policy Search for Reinforcement Learning
Population-Guided Parallel Policy Search for Reinforcement Learning
Whiyoung Jung
Giseung Park
Y. Sung
OffRL
29
38
0
09 Jan 2020
Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for
  Addressing Value Estimation Errors
Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors
Jingliang Duan
Yang Guan
Shengbo Eben Li
Yangang Ren
B. Cheng
OffRL
25
174
0
09 Jan 2020
Perception and Navigation in Autonomous Systems in the Era of Learning:
  A Survey
Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey
Yang Tang
Chaoqiang Zhao
Jianrui Wang
Chongzhen Zhang
Qiyu Sun
Weixing Zheng
W. Du
Feng Qian
Jürgen Kurths
32
67
0
08 Jan 2020
Universal Successor Features for Transfer Reinforcement Learning
Universal Successor Features for Transfer Reinforcement Learning
Chen Ma
Dylan R. Ashley
Junfeng Wen
Yoshua Bengio
OffRL
23
26
0
05 Jan 2020
Making Sense of Reinforcement Learning and Probabilistic Inference
Making Sense of Reinforcement Learning and Probabilistic Inference
Brendan O'Donoghue
Ian Osband
Catalin Ionescu
OffRL
37
48
0
03 Jan 2020
Operationally meaningful representations of physical systems in neural
  networks
Operationally meaningful representations of physical systems in neural networks
Hendrik Poulsen Nautrup
Tony Metger
Raban Iten
Sofiene Jerbi
Lea M. Trenkwalder
H. Wilming
Hans J. Briegel
R. Renner
AI4CE
NAI
25
25
0
02 Jan 2020
On the Role of Weight Sharing During Deep Option Learning
On the Role of Weight Sharing During Deep Option Learning
Matthew D Riemer
Ignacio Cases
Clemens Rosenbaum
Miao Liu
Gerald Tesauro
OffRL
57
18
0
31 Dec 2019
Look, Listen, and Act: Towards Audio-Visual Embodied Navigation
Look, Listen, and Act: Towards Audio-Visual Embodied Navigation
Chuang Gan
Yiwei Zhang
Jiajun Wu
Boqing Gong
J. Tenenbaum
29
137
0
25 Dec 2019
A Survey of Deep Reinforcement Learning in Video Games
A Survey of Deep Reinforcement Learning in Video Games
Kun Shao
Zhentao Tang
Yuanheng Zhu
Nannan Li
Dongbin Zhao
OffRL
AI4TS
48
189
0
23 Dec 2019
A Survey of Deep Learning Applications to Autonomous Vehicle Control
A Survey of Deep Learning Applications to Autonomous Vehicle Control
Sampo Kuutti
Richard Bowden
Yaochu Jin
P. Barber
Saber Fallah
46
507
0
23 Dec 2019
Explain Your Move: Understanding Agent Actions Using Specific and
  Relevant Feature Attribution
Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution
Nikaash Puri
Sukriti Verma
Piyush B. Gupta
Dhruv Kayastha
Shripad Deshmukh
Balaji Krishnamurthy
Sameer Singh
FAtt
AAML
22
76
0
23 Dec 2019
Direct and indirect reinforcement learning
Direct and indirect reinforcement learning
Yang Guan
Shengbo Eben Li
Jingliang Duan
Jie Li
Yangang Ren
Qi Sun
B. Cheng
OffRL
38
34
0
23 Dec 2019
Predictive Coding for Boosting Deep Reinforcement Learning with Sparse
  Rewards
Predictive Coding for Boosting Deep Reinforcement Learning with Sparse Rewards
Xingyu Lu
Stas Tiomkin
Pieter Abbeel
OffRL
42
5
0
21 Dec 2019
Extendable NFV-Integrated Control Method Using Reinforcement Learning
Extendable NFV-Integrated Control Method Using Reinforcement Learning
Akito Suzuki
R. Kawahara
Masahiro Kobayashi
Shigeaki Harada
Yousuke Takahashi
K. Ishibashi
12
11
0
19 Dec 2019
Optimization for deep learning: theory and algorithms
Optimization for deep learning: theory and algorithms
Ruoyu Sun
ODL
61
168
0
19 Dec 2019
Taming an autonomous surface vehicle for path following and collision
  avoidance using deep reinforcement learning
Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning
Eivind Meyer
Haakon Robinson
Adil Rasheed
Omer San
33
65
0
18 Dec 2019
Learning Generalizable Visual Representations via Interactive Gameplay
Learning Generalizable Visual Representations via Interactive Gameplay
Luca Weihs
Aniruddha Kembhavi
Kiana Ehsani
Sarah M Pratt
Winson Han
Alvaro Herrasti
Eric Kolve
Dustin Schwenk
Roozbeh Mottaghi
Ali Farhadi
24
9
0
17 Dec 2019
How Should an Agent Practice?
How Should an Agent Practice?
Janarthanan Rajendran
Richard L. Lewis
Vivek Veeriah
Honglak Lee
Satinder Singh
26
9
0
15 Dec 2019
Fairness in Multi-agent Reinforcement Learning for Stock Trading
Fairness in Multi-agent Reinforcement Learning for Stock Trading
Wenhang Bao
AIFin
11
8
0
14 Dec 2019
Dota 2 with Large Scale Deep Reinforcement Learning
Dota 2 with Large Scale Deep Reinforcement Learning
OpenAI OpenAI
:
Christopher Berner
Greg Brockman
Brooke Chan
...
Szymon Sidor
Ilya Sutskever
Jie Tang
Filip Wolski
Susan Zhang
GNN
VLM
CLL
AI4CE
LRM
59
1,805
0
13 Dec 2019
Recruitment-imitation Mechanism for Evolutionary Reinforcement Learning
Recruitment-imitation Mechanism for Evolutionary Reinforcement Learning
Shuai Lu
Shuai Han
Wenbo Zhou
Junwei Zhang
39
26
0
13 Dec 2019
Learning Improvement Heuristics for Solving Routing Problems
Learning Improvement Heuristics for Solving Routing Problems
Yaoxin Wu
Wen Song
Zhiguang Cao
Jie Zhang
Andrew Lim
45
285
0
12 Dec 2019
Efficient Robotic Task Generalization Using Deep Model Fusion
  Reinforcement Learning
Efficient Robotic Task Generalization Using Deep Model Fusion Reinforcement Learning
Tianying Wang
Hao Zhang
Wei Qi Toh
Erik Cambria
Cheston Tan
Yan Wu
Yong Liu
Wei Jing
21
6
0
11 Dec 2019
Adversarial recovery of agent rewards from latent spaces of the limit
  order book
Adversarial recovery of agent rewards from latent spaces of the limit order book
Jacobo Roa-Vicens
Yuanbo Wang
Virgile Mison
Y. Gal
Ricardo M. A. Silva
28
3
0
09 Dec 2019
Reinforcement Learning-based Visual Navigation with
  Information-Theoretic Regularization
Reinforcement Learning-based Visual Navigation with Information-Theoretic Regularization
Qiaoyun Wu
Kai Xu
Jun Wang
Mingliang Xu
Xiaoxi Gong
Tianyi Zhou
24
30
0
09 Dec 2019
Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps
  for Deep Reinforcement Learning
Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep Reinforcement Learning
Akanksha Atrey
Kaleigh Clary
David D. Jensen
FAtt
LRM
35
91
0
09 Dec 2019
Learning to run a power network challenge for training topology
  controllers
Learning to run a power network challenge for training topology controllers
Antoine Marot
Benjamin Donnot
Camilo Romero
Luca Veyrin-Forrer
Marvin Lerousseau
Balthazar Donon
Isabelle M Guyon
27
75
0
05 Dec 2019
Hindsight Credit Assignment
Hindsight Credit Assignment
Anna Harutyunyan
Will Dabney
Thomas Mesnard
M. G. Azar
Bilal Piot
...
H. V. Hasselt
Greg Wayne
Satinder Singh
Doina Precup
Rémi Munos
32
72
0
05 Dec 2019
Stigmergic Independent Reinforcement Learning for Multi-Agent
  Collaboration
Stigmergic Independent Reinforcement Learning for Multi-Agent Collaboration
Xing Xu
Rongpeng Li
Zhifeng Zhao
Honggang Zhang
36
24
0
28 Nov 2019
Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous
  Multi-Lane Driving
Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous Multi-Lane Driving
Rupert Mitchell
Jenny Fletcher
Jacopo Panerati
Amanda Prorok
49
17
0
26 Nov 2019
Adaptive dynamic programming for nonaffine nonlinear optimal control
  problem with state constraints
Adaptive dynamic programming for nonaffine nonlinear optimal control problem with state constraints
Jingliang Duan
Zhengyu Liu
Shengbo Eben Li
Qi Sun
Zhenzhong Jia
B. Cheng
23
64
0
26 Nov 2019
End-to-End Model-Free Reinforcement Learning for Urban Driving using
  Implicit Affordances
End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances
Marin Toromanoff
É. Wirbel
Fabien Moutarde
OffRL
49
205
0
25 Nov 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and
  Algorithms
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms
Kai Zhang
Zhuoran Yang
Tamer Basar
70
1,190
0
24 Nov 2019
Policy-Gradient Training of Fair and Unbiased Ranking Functions
Policy-Gradient Training of Fair and Unbiased Ranking Functions
Himank Yadav
Zhengxiao Du
Thorsten Joachims
24
42
0
19 Nov 2019
Unsupervised Reinforcement Learning of Transferable Meta-Skills for
  Embodied Navigation
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation
Juncheng Li
Xinze Wang
Siliang Tang
Haizhou Shi
Fei Wu
Yueting Zhuang
William Yang Wang
SSL
53
67
0
18 Nov 2019
Kinematic State Abstraction and Provably Efficient Rich-Observation
  Reinforcement Learning
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning
Dipendra Kumar Misra
Mikael Henaff
A. Krishnamurthy
John Langford
41
151
0
13 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review
Adversarial Examples in Modern Machine Learning: A Review
R. Wiyatno
Anqi Xu
Ousmane Amadou Dia
A. D. Berker
AAML
28
104
0
13 Nov 2019
Combinatorial Optimization by Graph Pointer Networks and Hierarchical
  Reinforcement Learning
Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement Learning
Qiang Ma
Suwen Ge
Danyang He
D. Thaker
Iddo Drori
11
187
0
12 Nov 2019
Learning Representations in Reinforcement Learning:An Information
  Bottleneck Approach
Learning Representations in Reinforcement Learning:An Information Bottleneck Approach
Yingjun Pei
Xinwen Hou
SSL
44
10
0
12 Nov 2019
Multi-Path Policy Optimization
Multi-Path Policy Optimization
L. Pan
Qingpeng Cai
Longbo Huang
23
2
0
11 Nov 2019
DeepRacer: Educational Autonomous Racing Platform for Experimentation
  with Sim2Real Reinforcement Learning
DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning
Bharathan Balaji
S. Mallya
Sahika Genc
Saurabh Gupta
Leo Dirac
...
Yunzhe Tao
Brian Townsend
E. Calleja
Sunil Muralidhara
Dhanasekar Karuppasamy
26
57
0
05 Nov 2019
Gradient-based Adaptive Markov Chain Monte Carlo
Gradient-based Adaptive Markov Chain Monte Carlo
Michalis K. Titsias
P. Dellaportas
BDL
46
22
0
04 Nov 2019
Learning to Scaffold the Development of Robotic Manipulation Skills
Learning to Scaffold the Development of Robotic Manipulation Skills
Lin Shao
Toki Migimatsu
Jeannette Bohg
37
29
0
03 Nov 2019
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