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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 / 1,612 papers shown
Title
Distributed Deep Reinforcement Learning: An Overview
Distributed Deep Reinforcement Learning: An Overview
Mohammad Reza Samsami
Hossein Alimadad
OffRL
14
27
0
22 Nov 2020
Multi-agent Reinforcement Learning Accelerated MCMC on Multiscale
  Inversion Problem
Multi-agent Reinforcement Learning Accelerated MCMC on Multiscale Inversion Problem
Eric T. Chung
Y. Efendiev
W. Leung
Sai-Mang Pun
Zecheng Zhang
19
12
0
17 Nov 2020
Empowering Things with Intelligence: A Survey of the Progress,
  Challenges, and Opportunities in Artificial Intelligence of Things
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things
Jing Zhang
Dacheng Tao
45
464
0
17 Nov 2020
Deep Reinforcement Learning for Stochastic Computation Offloading in
  Digital Twin Networks
Deep Reinforcement Learning for Stochastic Computation Offloading in Digital Twin Networks
Yueyue Dai
Ke Zhang
Sabita Maharjan
Yan Zhang
OffRL
19
202
0
17 Nov 2020
Robotic self-representation improves manipulation skills and transfer
  learning
Robotic self-representation improves manipulation skills and transfer learning
Phuong D. H. Nguyen
Manfred Eppe
S. Wermter
SSL
18
1
0
13 Nov 2020
Critic PI2: Master Continuous Planning via Policy Improvement with Path
  Integrals and Deep Actor-Critic Reinforcement Learning
Critic PI2: Master Continuous Planning via Policy Improvement with Path Integrals and Deep Actor-Critic Reinforcement Learning
Jiajun Fan
He Ba
Xian Guo
Jianye Hao
OffRL
21
5
0
13 Nov 2020
Reinforcement Learning Experiments and Benchmark for Solving Robotic
  Reaching Tasks
Reinforcement Learning Experiments and Benchmark for Solving Robotic Reaching Tasks
Pierre Aumjaud
David McAuliffe
Francisco J. Rodríguez-Lera
P. Cardiff
19
15
0
11 Nov 2020
Proximal Policy Optimization via Enhanced Exploration Efficiency
Proximal Policy Optimization via Enhanced Exploration Efficiency
Junwei Zhang
Zhenghao Zhang
Shuai Han
Shuai Lu
34
41
0
11 Nov 2020
Model-based Reinforcement Learning from Signal Temporal Logic
  Specifications
Model-based Reinforcement Learning from Signal Temporal Logic Specifications
Parv Kapoor
Anand Balakrishnan
Jyotirmoy V. Deshmukh
29
22
0
10 Nov 2020
Multi-document Summarization via Deep Learning Techniques: A Survey
Multi-document Summarization via Deep Learning Techniques: A Survey
Congbo Ma
W. Zhang
Mingyu Guo
Hu Wang
Quan Z. Sheng
18
126
0
10 Nov 2020
Multiagent Rollout and Policy Iteration for POMDP with Application to
  Multi-Robot Repair Problems
Multiagent Rollout and Policy Iteration for POMDP with Application to Multi-Robot Repair Problems
Sushmita Bhattacharya
Siva Kailas
Sahil Badyal
Stephanie Gil
Dimitri Bertsekas
22
24
0
09 Nov 2020
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled
  Wireless Networks: A Tutorial
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial
Amal Feriani
Ekram Hossain
40
237
0
06 Nov 2020
Federated Knowledge Distillation
Federated Knowledge Distillation
Hyowoon Seo
Jihong Park
Seungeun Oh
M. Bennis
Seong-Lyun Kim
FedML
36
91
0
04 Nov 2020
Causal Campbell-Goodhart's law and Reinforcement Learning
Causal Campbell-Goodhart's law and Reinforcement Learning
Hal Ashton
CML
21
4
0
02 Nov 2020
Cooperative Heterogeneous Deep Reinforcement Learning
Cooperative Heterogeneous Deep Reinforcement Learning
Han Zheng
Pengfei Wei
Jing Jiang
Guodong Long
Qinghua Lu
Chengqi Zhang
51
12
0
02 Nov 2020
Reinforcement Learning of Causal Variables Using Mediation Analysis
Reinforcement Learning of Causal Variables Using Mediation Analysis
Tue Herlau
Rasmus Larsen
OOD
CML
34
8
0
29 Oct 2020
Behavior Priors for Efficient Reinforcement Learning
Behavior Priors for Efficient Reinforcement Learning
Dhruva Tirumala
Alexandre Galashov
Hyeonwoo Noh
Leonard Hasenclever
Razvan Pascanu
...
Guillaume Desjardins
Wojciech M. Czarnecki
Arun Ahuja
Yee Whye Teh
N. Heess
42
39
0
27 Oct 2020
Learning Multi-Agent Coordination for Enhancing Target Coverage in
  Directional Sensor Networks
Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks
Jing Xu
Fangwei Zhong
Yizhou Wang
27
47
0
25 Oct 2020
Optimising Stochastic Routing for Taxi Fleets with Model Enhanced
  Reinforcement Learning
Optimising Stochastic Routing for Taxi Fleets with Model Enhanced Reinforcement Learning
Shen Ren
Qianxiao Li
Liye Zhang
Zheng Qin
Bo Yang
26
0
0
22 Oct 2020
Deep Reinforcement Learning with Stacked Hierarchical Attention for
  Text-based Games
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games
Yunqiu Xu
Meng Fang
Ling-Hao Chen
Yali Du
Qiufeng Wang
Chengqi Zhang
OffRL
30
44
0
22 Oct 2020
Sample Efficient Reinforcement Learning with REINFORCE
Sample Efficient Reinforcement Learning with REINFORCE
Junzi Zhang
Jongho Kim
Brendan O'Donoghue
Stephen P. Boyd
46
101
0
22 Oct 2020
Logistic Q-Learning
Logistic Q-Learning
Joan Bas-Serrano
Sebastian Curi
Andreas Krause
Gergely Neu
14
40
0
21 Oct 2020
Deep Q-Network-based Adaptive Alert Threshold Selection Policy for
  Payment Fraud Systems in Retail Banking
Deep Q-Network-based Adaptive Alert Threshold Selection Policy for Payment Fraud Systems in Retail Banking
Hongda Shen
Eren Kurshan
43
20
0
21 Oct 2020
Visual Navigation in Real-World Indoor Environments Using End-to-End
  Deep Reinforcement Learning
Visual Navigation in Real-World Indoor Environments Using End-to-End Deep Reinforcement Learning
Jonáš Kulhánek
Erik Derner
Robert Babuška
31
40
0
21 Oct 2020
Quality of service based radar resource management using deep
  reinforcement learning
Quality of service based radar resource management using deep reinforcement learning
S. Durst
S. Brüggenwirth
21
11
0
20 Oct 2020
Integrating LEO Satellites and Multi-UAV Reinforcement Learning for
  Hybrid FSO/RF Non-Terrestrial Networks
Integrating LEO Satellites and Multi-UAV Reinforcement Learning for Hybrid FSO/RF Non-Terrestrial Networks
Ju-Hyung Lee
Jihong Park
M. Bennis
Young-Chai Ko
38
47
0
20 Oct 2020
Improving Dialog Systems for Negotiation with Personality Modeling
Improving Dialog Systems for Negotiation with Personality Modeling
Runzhe Yang
Jingxiao Chen
Karthik Narasimhan
27
47
0
20 Oct 2020
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for
  Autonomous Driving
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou
Jun Luo
Julian Villela
Yaodong Yang
David Rusu
...
H. Ammar
Hongbo Zhang
Wulong Liu
Jianye Hao
Jun Wang
139
193
0
19 Oct 2020
What About Inputing Policy in Value Function: Policy Representation and
  Policy-extended Value Function Approximator
What About Inputing Policy in Value Function: Policy Representation and Policy-extended Value Function Approximator
Hongyao Tang
Zhaopeng Meng
Jianye Hao
Chong Chen
D. Graves
...
Hangyu Mao
Wulong Liu
Yaodong Yang
Wenyuan Tao
Li Wang
OffRL
24
7
0
19 Oct 2020
Language and Visual Entity Relationship Graph for Agent Navigation
Language and Visual Entity Relationship Graph for Agent Navigation
Yicong Hong
Cristian Rodriguez-Opazo
Yuankai Qi
Qi Wu
Stephen Gould
LM&Ro
185
132
0
19 Oct 2020
Efficient Robotic Object Search via HIEM: Hierarchical Policy Learning
  with Intrinsic-Extrinsic Modeling
Efficient Robotic Object Search via HIEM: Hierarchical Policy Learning with Intrinsic-Extrinsic Modeling
Xin Ye
Yezhou Yang
32
14
0
16 Oct 2020
PRIMAL2: Pathfinding via Reinforcement and Imitation Multi-Agent
  Learning -- Lifelong
PRIMAL2: Pathfinding via Reinforcement and Imitation Multi-Agent Learning -- Lifelong
Mehul Damani
Zhiyao Luo
Emerson Wenzel
Guillaume Sartoretti
AI4CE
102
120
0
16 Oct 2020
A game-theoretic analysis of networked system control for common-pool
  resource management using multi-agent reinforcement learning
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning
Arnu Pretorius
Scott A. Cameron
Elan Van Biljon
Tom Makkink
Shahil Mawjee
J. D. Plessis
Jonathan P. Shock
Alexandre Laterre
Karim Beguir
24
11
0
15 Oct 2020
Masked Contrastive Representation Learning for Reinforcement Learning
Masked Contrastive Representation Learning for Reinforcement Learning
Jinhua Zhu
Yingce Xia
Lijun Wu
Jiajun Deng
Wen-gang Zhou
Tao Qin
Houqiang Li
SSL
OffRL
39
55
0
15 Oct 2020
FedAT: A High-Performance and Communication-Efficient Federated Learning
  System with Asynchronous Tiers
FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers
Zheng Chai
Yujing Chen
Ali Anwar
Liang Zhao
Yue Cheng
Huzefa Rangwala
FedML
26
122
0
12 Oct 2020
The Greatest Teacher, Failure is: Using Reinforcement Learning for SFC
  Placement Based on Availability and Energy Consumption
The Greatest Teacher, Failure is: Using Reinforcement Learning for SFC Placement Based on Availability and Energy Consumption
Guto Leoni Santos
Theo Lynn
J. Kelner
P. Endo
24
0
0
12 Oct 2020
Text-based RL Agents with Commonsense Knowledge: New Challenges,
  Environments and Baselines
Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines
K. Murugesan
Mattia Atzeni
Pavan Kapanipathi
Pushkar Shukla
Yara Rizk
Gerald Tesauro
Kartik Talamadupula
Mrinmaya Sachan
Murray Campbell
LM&Ro
LLMAG
OffRL
37
54
0
08 Oct 2020
Online Safety Assurance for Deep Reinforcement Learning
Online Safety Assurance for Deep Reinforcement Learning
Noga H. Rotman
Michael Schapira
Aviv Tamar
OffRL
41
5
0
07 Oct 2020
Mastering Atari with Discrete World Models
Mastering Atari with Discrete World Models
Danijar Hafner
Timothy Lillicrap
Mohammad Norouzi
Jimmy Ba
DRL
55
823
0
05 Oct 2020
Self-Play Reinforcement Learning for Fast Image Retargeting
Self-Play Reinforcement Learning for Fast Image Retargeting
Nobukatsu Kajiura
Satoshi Kosugi
Xueting Wang
T. Yamasaki
42
20
0
02 Oct 2020
How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and
  Act in Fantasy Worlds
How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds
Prithviraj Ammanabrolu
Jack Urbanek
Margaret Li
Arthur Szlam
Tim Rocktaschel
Jason Weston
LM&Ro
24
44
0
01 Oct 2020
Toolpath design for additive manufacturing using deep reinforcement
  learning
Toolpath design for additive manufacturing using deep reinforcement learning
M. Mozaffar
Ablodghani Ebrahimi
Jian Cao
AI4CE
28
7
0
30 Sep 2020
Is Q-Learning Provably Efficient? An Extended Analysis
Is Q-Learning Provably Efficient? An Extended Analysis
Kushagra Rastogi
Jonathan Lee
Fabrice Harel-Canada
Aditya Sunil Joglekar
OffRL
19
1
0
22 Sep 2020
Dynamic Horizon Value Estimation for Model-based Reinforcement Learning
Dynamic Horizon Value Estimation for Model-based Reinforcement Learning
Junjie Wang
Qichao Zhang
Dongbin Zhao
Mengchen Zhao
Jianye Hao
OffRL
32
5
0
21 Sep 2020
Reinforcement Learning for Weakly Supervised Temporal Grounding of
  Natural Language in Untrimmed Videos
Reinforcement Learning for Weakly Supervised Temporal Grounding of Natural Language in Untrimmed Videos
Jie Wu
Guanbin Li
Xiaoguang Han
Liang Lin
OffRL
AI4TS
27
56
0
18 Sep 2020
Multimodal Safety-Critical Scenarios Generation for Decision-Making
  Algorithms Evaluation
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation
Wenhao Ding
Baiming Chen
Yue Liu
Kim Ji Eun
Ding Zhao
AAML
16
100
0
16 Sep 2020
Decoupling Representation Learning from Reinforcement Learning
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke
Kimin Lee
Pieter Abbeel
Michael Laskin
SSL
DRL
290
341
0
14 Sep 2020
VacSIM: Learning Effective Strategies for COVID-19 Vaccine Distribution
  using Reinforcement Learning
VacSIM: Learning Effective Strategies for COVID-19 Vaccine Distribution using Reinforcement Learning
R. Awasthi
K. K. Guliani
Saif Ahmad Khan
Aniket Vashishtha
M. S. Gill
Arshita Bhatt
A. Nagori
Aniket Gupta
Ponnurangam Kumaraguru
Tavpritesh Sethi
41
24
0
14 Sep 2020
Guided Policy Search Based Control of a High Dimensional Advanced
  Manufacturing Process
Guided Policy Search Based Control of a High Dimensional Advanced Manufacturing Process
A. Surana
Kishore K. Reddy
M. Siopis
AI4CE
25
2
0
12 Sep 2020
ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators
  using Reinforcement Learning
ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning
Sheng-Chun Kao
Geonhwa Jeong
T. Krishna
28
95
0
04 Sep 2020
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