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Deep Reinforcement Learning with Double Q-learning
v1v2v3 (latest)

Deep Reinforcement Learning with Double Q-learning

22 September 2015
H. V. Hasselt
A. Guez
David Silver
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Deep Reinforcement Learning with Double Q-learning"

50 / 2,291 papers shown
Title
Reward learning from human preferences and demonstrations in Atari
Reward learning from human preferences and demonstrations in Atari
Borja Ibarz
Jan Leike
Tobias Pohlen
G. Irving
Shane Legg
Dario Amodei
117
398
0
15 Nov 2018
Bayesian Reinforcement Learning in Factored POMDPs
Bayesian Reinforcement Learning in Factored POMDPs
Sammie Katt
F. Oliehoek
Chris Amato
69
40
0
14 Nov 2018
Optimizing Taxi Carpool Policies via Reinforcement Learning and
  Spatio-Temporal Mining
Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining
Ishan Jindal
Zhiwei Qin
Xuewen Chen
M. Nokleby
Jieping Ye
AI4TS
51
45
0
11 Nov 2018
Memory-based Deep Reinforcement Learning for Obstacle Avoidance in UAV
  with Limited Environment Knowledge
Memory-based Deep Reinforcement Learning for Obstacle Avoidance in UAV with Limited Environment Knowledge
Hassan Dashtian
Sindhu Padakandla
M. Sahimi
79
210
0
08 Nov 2018
The RLLChatbot: a solution to the ConvAI challenge
The RLLChatbot: a solution to the ConvAI challenge
Nicolas Angelard-Gontier
Koustuv Sinha
Peter Henderson
Iulian Serban
Michael Noseworthy
Prasanna Parthasarathi
Joelle Pineau
OffRL
53
0
0
07 Nov 2018
Deep Reinforcement Learning for Green Security Games with Real-Time
  Information
Deep Reinforcement Learning for Green Security Games with Real-Time Information
Yufei Wang
Zheyuan Ryan Shi
Lantao Yu
Yi Wu
Rohit Singh
Lucas Joppa
Fei Fang
67
73
0
06 Nov 2018
Managing engineering systems with large state and action spaces through
  deep reinforcement learning
Managing engineering systems with large state and action spaces through deep reinforcement learning
Varun Chandrasekaran
K. Papakonstantinou
AI4CE
80
164
0
05 Nov 2018
VIREL: A Variational Inference Framework for Reinforcement Learning
VIREL: A Variational Inference Framework for Reinforcement Learning
M. Fellows
Anuj Mahajan
Tim G. J. Rudner
Shimon Whiteson
DRL
106
56
0
03 Nov 2018
Horizon: Facebook's Open Source Applied Reinforcement Learning Platform
Horizon: Facebook's Open Source Applied Reinforcement Learning Platform
J. Gauci
Edoardo Conti
Yitao Liang
Kittipat Virochsiri
Yuchen He
Zachary Kaden
Vivek Narayanan
Xiaohui Ye
Zhengxing Chen
Scott Fujimoto
85
139
0
01 Nov 2018
SDRL: Interpretable and Data-efficient Deep Reinforcement Learning
  Leveraging Symbolic Planning
SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning
Daoming Lyu
Fangkai Yang
Bo Liu
Steven M. Gustafson
OffRL
98
152
0
31 Oct 2018
The Faults in Our Pi Stars: Security Issues and Open Challenges in Deep
  Reinforcement Learning
The Faults in Our Pi Stars: Security Issues and Open Challenges in Deep Reinforcement Learning
Vahid Behzadan
Arslan Munir
80
27
0
23 Oct 2018
Optimization of Molecules via Deep Reinforcement Learning
Optimization of Molecules via Deep Reinforcement Learning
Zhenpeng Zhou
S. Kearnes
Li Li
R. Zare
Patrick F. Riley
AI4CE
140
543
0
19 Oct 2018
Applications of Deep Reinforcement Learning in Communications and
  Networking: A Survey
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey
Nguyen Cong Luong
D. Hoang
Shimin Gong
Dusit Niyato
Ping Wang
Ying-Chang Liang
Dong In Kim
OffRL
95
1,445
0
18 Oct 2018
The Concept of Criticality in Reinforcement Learning
The Concept of Criticality in Reinforcement Learning
Yitzhak Spielberg
A. Azaria
35
7
0
16 Oct 2018
Using Deep Reinforcement Learning for the Continuous Control of Robotic
  Arms
Using Deep Reinforcement Learning for the Continuous Control of Robotic Arms
Winfried Lötzsch
22
3
0
15 Oct 2018
Successor Uncertainties: Exploration and Uncertainty in Temporal
  Difference Learning
Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning
David Janz
Jiri Hron
Przemysław Mazur
Katja Hofmann
José Miguel Hernández-Lobato
Sebastian Tschiatschek
163
52
0
15 Oct 2018
Deep Reinforcement Learning
Deep Reinforcement Learning
Yuxi Li
VLMOffRL
194
144
0
15 Oct 2018
Learning to Sketch with Deep Q Networks and Demonstrated Strokes
Learning to Sketch with Deep Q Networks and Demonstrated Strokes
Tao Zhou
Chen Fang
Zhaowen Wang
Jimei Yang
Byungmoon Kim
Zhili Chen
Jonathan Brandt
Demetri Terzopoulos
99
7
0
14 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning
A Survey and Critique of Multiagent Deep Reinforcement Learning
Pablo Hernandez-Leal
Bilal Kartal
Matthew E. Taylor
OffRL
119
569
0
12 Oct 2018
Parametrized Deep Q-Networks Learning: Reinforcement Learning with
  Discrete-Continuous Hybrid Action Space
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space
Jiechao Xiong
Qing Wang
Zhuoran Yang
Peng Sun
Lei Han
Yang Zheng
Haobo Fu
Tong Zhang
Ji Liu
Han Liu
68
172
0
10 Oct 2018
Deep Reinforcement Learning for Time Scheduling in RF-Powered
  Backscatter Cognitive Radio Networks
Deep Reinforcement Learning for Time Scheduling in RF-Powered Backscatter Cognitive Radio Networks
Tran The Anh
Nguyen Cong Luong
Dusit Niyato
Ying-Chang Liang
Dong In Kim
55
39
0
03 Oct 2018
Reinforcement Learning with Perturbed Rewards
Reinforcement Learning with Perturbed Rewards
Jingkang Wang
Yang Liu
Yue Liu
NoLa
95
131
0
02 Oct 2018
SmartChoices: Hybridizing Programming and Machine Learning
SmartChoices: Hybridizing Programming and Machine Learning
Victor Carbune
Thierry Coppey
A. Daryin
Thomas Deselaers
Nikhil Sarda
J. Yagnik
27
2
0
01 Oct 2018
Deep Quality-Value (DQV) Learning
Deep Quality-Value (DQV) Learning
M. Sabatelli
Gilles Louppe
Pierre Geurts
M. Wiering
OffRL
60
16
0
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Hierarchical Deep Multiagent Reinforcement Learning with Temporal
  Abstraction
Hierarchical Deep Multiagent Reinforcement Learning with Temporal Abstraction
Hongyao Tang
Jianye Hao
Tangjie Lv
Yingfeng Chen
Zongzhang Zhang
...
Chunxu Ren
Yan Zheng
Zhaopeng Meng
Changjie Fan
Li Wang
OffRL
48
23
0
25 Sep 2018
Low Precision Policy Distillation with Application to Low-Power,
  Real-time Sensation-Cognition-Action Loop with Neuromorphic Computing
Low Precision Policy Distillation with Application to Low-Power, Real-time Sensation-Cognition-Action Loop with Neuromorphic Computing
J. McKinstry
D. Barch
Deepika Bablani
M. DeBole
S. K. Esser
J. Kusnitz
John V. Arthur
D. Modha
OffRL
77
5
0
25 Sep 2018
Dynamic Weights in Multi-Objective Deep Reinforcement Learning
Dynamic Weights in Multi-Objective Deep Reinforcement Learning
Axel Abels
D. Roijers
Tom Lenaerts
A. Nowé
Denis Steckelmacher
OffRL
85
163
0
20 Sep 2018
TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in
  the Full Game
TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game
Peng Sun
Xinghai Sun
Lei Han
Jiechao Xiong
Qing Wang
...
Yang Zheng
Ji Liu
Yongsheng Liu
Han Liu
Tong Zhang
104
75
0
19 Sep 2018
In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and
  Communication by Federated Learning
In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning
Xiaofei Wang
Yiwen Han
Chenyang Wang
Qiyang Zhao
Xu Chen
Min Chen
61
806
0
19 Sep 2018
Muscle Excitation Estimation in Biomechanical Simulation Using NAF
  Reinforcement Learning
Muscle Excitation Estimation in Biomechanical Simulation Using NAF Reinforcement Learning
A. Abdi
Pramit Saha
Praneeth Srungarapu
S. Fels
39
5
0
17 Sep 2018
Object-sensitive Deep Reinforcement Learning
Object-sensitive Deep Reinforcement Learning
Yuezhang Li
Katia Sycara
R. Iyer
88
66
0
17 Sep 2018
Transparency and Explanation in Deep Reinforcement Learning Neural
  Networks
Transparency and Explanation in Deep Reinforcement Learning Neural Networks
R. Iyer
Yuezhang Li
Huao Li
M. Lewis
R. Sundar
Katia Sycara
56
175
0
17 Sep 2018
Towards Better Interpretability in Deep Q-Networks
Towards Better Interpretability in Deep Q-Networks
Raghuram Mandyam Annasamy
Katia Sycara
FAtt
59
59
0
15 Sep 2018
Negative Update Intervals in Deep Multi-Agent Reinforcement Learning
Negative Update Intervals in Deep Multi-Agent Reinforcement Learning
Gregory Palmer
Rahul Savani
K. Tuyls
47
27
0
13 Sep 2018
Combined Reinforcement Learning via Abstract Representations
Combined Reinforcement Learning via Abstract Representations
Vincent François-Lavet
Yoshua Bengio
Doina Precup
Joelle Pineau
OffRL
91
93
0
12 Sep 2018
Multi-task Deep Reinforcement Learning with PopArt
Multi-task Deep Reinforcement Learning with PopArt
Matteo Hessel
Hubert Soyer
L. Espeholt
Wojciech M. Czarnecki
Simon Schmitt
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147
320
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Factorized Q-Learning for Large-Scale Multi-Agent Systems
Factorized Q-Learning for Large-Scale Multi-Agent Systems
M. Zhou
Yong Chen
Ying Wen
Yaodong Yang
Yufeng Su
Weinan Zhang
Dell Zhang
Jun Wang
AI4CE
116
68
0
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Adaptive Behavior Generation for Autonomous Driving using Deep
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Adaptive Behavior Generation for Autonomous Driving using Deep Reinforcement Learning with Compact Semantic States
Peter Wolf
Karl Kurzer
Tobias Wingert
Florian Kuhnt
Johann Marius Zöllner
60
56
0
10 Sep 2018
Learning Adaptive Display Exposure for Real-Time Advertising
Learning Adaptive Display Exposure for Real-Time Advertising
Weixun Wang
Junqi Jin
Jianye Hao
Chunjie Chen
Chuan Yu
...
Xiaotian Hao
Yixi Wang
Han Li
Jian Xu
Kun Gai
43
6
0
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Learning Invariances for Policy Generalization
Learning Invariances for Policy Generalization
Rémi Tachet des Combes
Philip Bachman
H. V. Seijen
83
12
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Transferring Deep Reinforcement Learning with Adversarial Objective and
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Transferring Deep Reinforcement Learning with Adversarial Objective and Augmentation
Shu-Hsuan Hsu
I-Chao Shen
Bing-Yu Chen
13
2
0
04 Sep 2018
Effective Exploration for Deep Reinforcement Learning via Bootstrapped
  Q-Ensembles under Tsallis Entropy Regularization
Effective Exploration for Deep Reinforcement Learning via Bootstrapped Q-Ensembles under Tsallis Entropy Regularization
Gang Chen
Yiming Peng
Mengjie Zhang
45
14
0
02 Sep 2018
LIFT: Reinforcement Learning in Computer Systems by Learning From
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LIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations
Michael Schaarschmidt
A. Kuhnle
Ben Ellis
Kai Fricke
Felix Gessert
Eiko Yoneki
OffRL
55
41
0
23 Aug 2018
Reinforcement Learning for Autonomous Defence in Software-Defined
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Reinforcement Learning for Autonomous Defence in Software-Defined Networking
Yi Han
Benjamin I. P. Rubinstein
Tamas Abraham
T. Alpcan
O. Vel
S. Erfani
David Hubczenko
C. Leckie
Paul Montague
AAML
55
69
0
17 Aug 2018
Distributional Multivariate Policy Evaluation and Exploration with the
  Bellman GAN
Distributional Multivariate Policy Evaluation and Exploration with the Bellman GAN
Dror Freirich
Ron Meir
Aviv Tamar
OffRL
49
13
0
06 Aug 2018
Deep Reinforcement One-Shot Learning for Artificially Intelligent
  Classification Systems
Deep Reinforcement One-Shot Learning for Artificially Intelligent Classification Systems
A. Puzanov
Kobi Cohen
VLM
46
19
0
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Visual Analogies between Atari Games for Studying Transfer Learning in
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Visual Analogies between Atari Games for Studying Transfer Learning in RL
D. Sobol
Lior Wolf
Yaniv Taigman
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44
7
0
29 Jul 2018
A Survey of Machine and Deep Learning Methods for Internet of Things
  (IoT) Security
A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security
M. Al-garadi
Amr M. Mohamed
A. Al-Ali
Xiaojiang Du
Mohsen Guizani
95
831
0
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NAVREN-RL: Learning to fly in real environment via end-to-end deep
  reinforcement learning using monocular images
NAVREN-RL: Learning to fly in real environment via end-to-end deep reinforcement learning using monocular images
Malik Aqeel Anwar
A. Raychowdhury
81
22
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Recent Advances in Deep Learning: An Overview
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Matiur Rahman Minar
Jibon Naher
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104
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