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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
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Learning to Navigate by Growing Deep Networks
Learning to Navigate by Growing Deep Networks
Thushan Ganegedara
Lionel Ott
F. Ramos
SSL
22
0
0
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Deep Reinforcement Learning Boosted by External Knowledge
Deep Reinforcement Learning Boosted by External Knowledge
Nicolas Bougie
R. Ichise
OffRL
56
15
0
12 Dec 2017
Learning Robust Dialog Policies in Noisy Environments
Learning Robust Dialog Policies in Noisy Environments
Maryam Fazel-Zarandi
Shang-Wen Li
Jin Cao
Jared Casale
Peter Henderson
David Whitney
A. Geramifard
81
24
0
11 Dec 2017
Robust Deep Reinforcement Learning with Adversarial Attacks
Robust Deep Reinforcement Learning with Adversarial Attacks
Anay Pattanaik
Zhenyi Tang
Shuijing Liu
Gautham Bommannan
Girish Chowdhary
OOD
80
308
0
11 Dec 2017
Music Generation by Deep Learning - Challenges and Directions
Music Generation by Deep Learning - Challenges and Directions
Jean-Pierre Briot
F. Pachet
MGen
99
131
0
09 Dec 2017
Assumed Density Filtering Q-learning
Assumed Density Filtering Q-learning
Heejin Jeong
Clark Zhang
George J. Pappas
Daniel D. Lee
OffRL
43
5
0
09 Dec 2017
Nintendo Super Smash Bros. Melee: An "Untouchable" Agent
Nintendo Super Smash Bros. Melee: An "Untouchable" Agent
Ben Parr
D. Dilipkumar
Yuan Liu
8
2
0
08 Dec 2017
Bayesian Policy Gradients via Alpha Divergence Dropout Inference
Bayesian Policy Gradients via Alpha Divergence Dropout Inference
Peter Henderson
T. Doan
Riashat Islam
David Meger
BDL
85
13
0
06 Dec 2017
Variational Deep Q Network
Variational Deep Q Network
Yunhao Tang
A. Kucukelbir
BDL
95
10
0
30 Nov 2017
One-Shot Reinforcement Learning for Robot Navigation with Interactive
  Replay
One-Shot Reinforcement Learning for Robot Navigation with Interactive Replay
Jake Bruce
Niko Sünderhauf
Piotr Wojciech Mirowski
R. Hadsell
Michael Milford
87
60
0
28 Nov 2017
Deep Reinforcement Learning for Sepsis Treatment
Deep Reinforcement Learning for Sepsis Treatment
Aniruddh Raghu
Matthieu Komorowski
Imran Ahmed
Leo Anthony Celi
Peter Szolovits
Marzyeh Ghassemi
OffRL
71
174
0
27 Nov 2017
Action Branching Architectures for Deep Reinforcement Learning
Action Branching Architectures for Deep Reinforcement Learning
Arash Tavakoli
Fabio Pardo
Petar Kormushev
74
265
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
83
52
0
20 Nov 2017
Classification with Costly Features using Deep Reinforcement Learning
Classification with Costly Features using Deep Reinforcement Learning
Jaromír Janisch
Tomás Pevný
Viliam Lisý
OffRL
74
98
0
20 Nov 2017
Data-driven Planning via Imitation Learning
Data-driven Planning via Imitation Learning
Sanjiban Choudhury
M. Bhardwaj
S. Arora
Ashish Kapoor
G. Ranade
Sebastian Scherer
Debadeepta Dey
98
81
0
17 Nov 2017
BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems
Zachary Chase Lipton
Xiujun Li
Jianfeng Gao
Lihong Li
Faisal Ahmed
Li Deng
107
172
0
15 Nov 2017
Data Augmentation Generative Adversarial Networks
Data Augmentation Generative Adversarial Networks
Antreas Antoniou
Amos Storkey
Harrison Edwards
MedImGAN
154
1,076
0
12 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
OffRLAI4CE
85
646
0
10 Nov 2017
Strategies for Conceptual Change in Convolutional Neural Networks
Strategies for Conceptual Change in Convolutional Neural Networks
M. Grachten
Carlos Eduardo Cancino-Chacón
52
10
0
05 Nov 2017
Regret Minimization for Partially Observable Deep Reinforcement Learning
Regret Minimization for Partially Observable Deep Reinforcement Learning
Peter H. Jin
Kurt Keutzer
Sergey Levine
86
51
0
31 Oct 2017
Unifying Value Iteration, Advantage Learning, and Dynamic Policy
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Unifying Value Iteration, Advantage Learning, and Dynamic Policy Programming
Tadashi Kozuno
E. Uchibe
Kenji Doya
40
3
0
30 Oct 2017
Distributional Reinforcement Learning with Quantile Regression
Distributional Reinforcement Learning with Quantile Regression
Will Dabney
Mark Rowland
Marc G. Bellemare
Rémi Munos
95
769
0
27 Oct 2017
Generalization Tower Network: A Novel Deep Neural Network Architecture
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Generalization Tower Network: A Novel Deep Neural Network Architecture for Multi-Task Learning
Yuhang Song
Mai Xu
Songyang Zhang
Liangyu Huo
57
3
0
27 Oct 2017
The Effects of Memory Replay in Reinforcement Learning
The Effects of Memory Replay in Reinforcement Learning
Ruishan Liu
James Zou
VLM
73
112
0
18 Oct 2017
Deep Reinforcement Learning: Framework, Applications, and Embedded
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Deep Reinforcement Learning: Framework, Applications, and Embedded Implementations
Hongjia Li
Tianshu Wei
Ao Ren
Qi Zhu
Yanzhi Wang
OffRLAI4CE
39
43
0
10 Oct 2017
Rainbow: Combining Improvements in Deep Reinforcement Learning
Rainbow: Combining Improvements in Deep Reinforcement Learning
Matteo Hessel
Joseph Modayil
H. V. Hasselt
Tom Schaul
Georg Ostrovski
Will Dabney
Dan Horgan
Bilal Piot
M. G. Azar
David Silver
OffRL
112
2,279
0
06 Oct 2017
Exploration in Feature Space for Reinforcement Learning
Exploration in Feature Space for Reinforcement Learning
S. N. Sasikumar
146
4
0
05 Oct 2017
Deep Abstract Q-Networks
Deep Abstract Q-Networks
Melrose Roderick
Christopher Grimm
Stefanie Tellex
100
33
0
02 Oct 2017
Parameter Sharing Deep Deterministic Policy Gradient for Cooperative
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Parameter Sharing Deep Deterministic Policy Gradient for Cooperative Multi-agent Reinforcement Learning
Xiangxiang Chu
Hangjun Ye
74
56
0
01 Oct 2017
Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces
Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces
Garrett A. Warnell
Nicholas R. Waytowich
Vernon J. Lawhern
Peter Stone
86
273
0
28 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
53
24
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
79
68
0
19 Sep 2017
Revisiting the Arcade Learning Environment: Evaluation Protocols and
  Open Problems for General Agents
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents
Marlos C. Machado
Marc G. Bellemare
Erik Talvitie
J. Veness
Matthew J. Hausknecht
Michael Bowling
114
558
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
88
180
0
15 Sep 2017
Deep Reinforcement Learning for Conversational AI
Deep Reinforcement Learning for Conversational AI
Mahipal Jadeja
Neelanshi Varia
Agam Shah
46
5
0
15 Sep 2017
Shared Learning : Enhancing Reinforcement in $Q$-Ensembles
Shared Learning : Enhancing Reinforcement in QQQ-Ensembles
Rakesh R Menon
Balaraman Ravindran
33
0
0
14 Sep 2017
Towards personalized human AI interaction - adapting the behavior of AI
  agents using neural signatures of subjective interest
Towards personalized human AI interaction - adapting the behavior of AI agents using neural signatures of subjective interest
Victor Shih
D. Jangraw
P. Sajda
S. Saproo
24
2
0
14 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
49
23
0
13 Sep 2017
Deep Reinforcement Learning with Surrogate Agent-Environment Interface
Deep Reinforcement Learning with Surrogate Agent-Environment Interface
Songli Wang
Yutao Jing
27
1
0
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Combining Strategic Learning and Tactical Search in Real-Time Strategy
  Games
Combining Strategic Learning and Tactical Search in Real-Time Strategy Games
Nicolas A. Barriga
Marius Stanescu
M. Buro
44
40
0
11 Sep 2017
Autonomous Quadrotor Landing using Deep Reinforcement Learning
Autonomous Quadrotor Landing using Deep Reinforcement Learning
Riccardo Polvara
Massimiliano Patacchiola
Sanjay K. Sharma
Jian Wan
Andrew Manning
R. Sutton
Angelo Cangelosi
60
48
0
11 Sep 2017
Deep Learning Techniques for Music Generation -- A Survey
Deep Learning Techniques for Music Generation -- A Survey
Jean-Pierre Briot
Gaëtan Hadjeres
F. Pachet
MGen
153
300
0
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BOOK: Storing Algorithm-Invariant Episodes for Deep Reinforcement
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BOOK: Storing Algorithm-Invariant Episodes for Deep Reinforcement Learning
Simyung Chang
Y. Yoo
Jaeseok Choi
Nojun Kwak
OffRL
15
1
0
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Deep Learning for Video Game Playing
Deep Learning for Video Game Playing
Niels Justesen
Philip Bontrager
Julian Togelius
S. Risi
VLM
101
208
0
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Reinforcement Mechanism Design for e-commerce
Reinforcement Mechanism Design for e-commerce
Qingpeng Cai
Aris Filos-Ratsikas
Pingzhong Tang
Yiwei Zhang
28
4
0
25 Aug 2017
A Function Approximation Method for Model-based High-Dimensional Inverse
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A Function Approximation Method for Model-based High-Dimensional Inverse Reinforcement Learning
Kun Li
J. W. Burdick
40
5
0
23 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
143
2,830
0
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LADDER: A Human-Level Bidding Agent for Large-Scale Real-Time Online
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LADDER: A Human-Level Bidding Agent for Large-Scale Real-Time Online Auctions
Yu Wang
Jiayi Liu
Yuxiang Liu
Jun Hao
Yang He
Jinghe Hu
Weipeng P. Yan
Mantian Li
74
19
0
18 Aug 2017
Investigating Reinforcement Learning Agents for Continuous State Space
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Investigating Reinforcement Learning Agents for Continuous State Space Environments
David Von Dollen
OffRL
11
0
0
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An Information-Theoretic Optimality Principle for Deep Reinforcement
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An Information-Theoretic Optimality Principle for Deep Reinforcement Learning
Felix Leibfried
Jordi Grau-Moya
Haitham Bou-Ammar
101
24
0
06 Aug 2017
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