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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
CytonRL: an Efficient Reinforcement Learning Open-source Toolkit
  Implemented in C++
CytonRL: an Efficient Reinforcement Learning Open-source Toolkit Implemented in C++
Xiaolin Wang
26
1
0
14 Apr 2018
Robust Dual View Deep Agent
Robust Dual View Deep Agent
Ibrahim Sobh
N. Darwish
66
2
0
13 Apr 2018
MOVI: A Model-Free Approach to Dynamic Fleet Management
MOVI: A Model-Free Approach to Dynamic Fleet Management
Takuma Oda
Carlee Joe-Wong
66
94
0
13 Apr 2018
Distort-and-Recover: Color Enhancement using Deep Reinforcement Learning
Distort-and-Recover: Color Enhancement using Deep Reinforcement Learning
Jongchan Park
Joon-Young Lee
Donggeun Yoo
In So Kweon
OffRL
70
197
0
12 Apr 2018
A Human Mixed Strategy Approach to Deep Reinforcement Learning
A Human Mixed Strategy Approach to Deep Reinforcement Learning
Ngoc Duy Nguyen
S. Nahavandi
Thanh Nguyen
76
12
0
05 Apr 2018
StarCraft Micromanagement with Reinforcement Learning and Curriculum
  Transfer Learning
StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning
Kun Shao
Yuanheng Zhu
Dongbin Zhao
145
171
0
03 Apr 2018
Joint Learning of Interactive Spoken Content Retrieval and Trainable
  User Simulator
Joint Learning of Interactive Spoken Content Retrieval and Trainable User Simulator
Pei-Hung Chung
Kuan Tung
Ching-Lun Tai
Hung-yi Lee
RALM
49
1
0
01 Apr 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent
  Reinforcement Learning
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
Tabish Rashid
Mikayel Samvelyan
Christian Schroeder de Witt
Gregory Farquhar
Jakob N. Foerster
Shimon Whiteson
177
1,679
0
30 Mar 2018
Deep Reinforcement Learning for Traffic Light Control in Vehicular
  Networks
Deep Reinforcement Learning for Traffic Light Control in Vehicular Networks
Xiaoyuan Liang
Xunsheng Du
Guiling Wang
Zhu Han
67
418
0
29 Mar 2018
Learning Synergies between Pushing and Grasping with Self-supervised
  Deep Reinforcement Learning
Learning Synergies between Pushing and Grasping with Self-supervised Deep Reinforcement Learning
Andy Zeng
Shuran Song
Stefan Welker
Johnny Lee
Alberto Rodriguez
Thomas Funkhouser
SSL
125
571
0
27 Mar 2018
Forward-Backward Reinforcement Learning
Forward-Backward Reinforcement Learning
Ashley D. Edwards
Laura Downs
James C. Davidson
75
38
0
27 Mar 2018
Automated Speed and Lane Change Decision Making using Deep Reinforcement
  Learning
Automated Speed and Lane Change Decision Making using Deep Reinforcement Learning
C. Hoel
Krister Wolff
L. Laine
62
177
0
14 Mar 2018
Imitation Learning with Concurrent Actions in 3D Games
Imitation Learning with Concurrent Actions in 3D Games
Jack Harmer
Linus Gisslén
Jorge del Val
Henrik Holst
Joakim Bergdahl
Tom Olsson
K. Sjöö
Magnus Nordin
75
46
0
14 Mar 2018
Policy Search in Continuous Action Domains: an Overview
Policy Search in Continuous Action Domains: an Overview
Olivier Sigaud
F. Stulp
125
73
0
13 Mar 2018
The Advantage of Doubling: A Deep Reinforcement Learning Approach to
  Studying the Double Team in the NBA
The Advantage of Doubling: A Deep Reinforcement Learning Approach to Studying the Double Team in the NBA
Jiaxuan Wang
Ian Fox
J. Skaza
Nick Linck
Satinder Singh
Jenna Wiens
OffRL
39
19
0
08 Mar 2018
Accelerated Methods for Deep Reinforcement Learning
Accelerated Methods for Deep Reinforcement Learning
Adam Stooke
Pieter Abbeel
OffRLOnRL
73
136
0
07 Mar 2018
Learning to Sequence Robot Behaviors for Visual Navigation
Learning to Sequence Robot Behaviors for Visual Navigation
Hadi Salman
Puneet Singhal
Tanmay Shankar
Peng Yin
A. Salman
William Paivine
Guillaume Sartoretti
Matthew Travers
Howie Choset
40
8
0
05 Mar 2018
Model-Free Control for Distributed Stream Data Processing using Deep
  Reinforcement Learning
Model-Free Control for Distributed Stream Data Processing using Deep Reinforcement Learning
Teng Li
Zhiyuan Xu
Jian Tang
Yanzhi Wang
42
78
0
02 Mar 2018
Distributed Prioritized Experience Replay
Distributed Prioritized Experience Replay
Dan Horgan
John Quan
David Budden
Gabriel Barth-Maron
Matteo Hessel
H. V. Hasselt
David Silver
165
742
0
02 Mar 2018
Hierarchical Imitation and Reinforcement Learning
Hierarchical Imitation and Reinforcement Learning
Hoang Minh Le
Nan Jiang
Alekh Agarwal
Miroslav Dudík
Yisong Yue
Hal Daumé
79
194
0
01 Mar 2018
Selective Experience Replay for Lifelong Learning
Selective Experience Replay for Lifelong Learning
David Isele
Akansel Cosgun
CLL
94
460
0
28 Feb 2018
Deep Reinforcement Learning for Vision-Based Robotic Grasping: A
  Simulated Comparative Evaluation of Off-Policy Methods
Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods
Deirdre Quillen
Eric Jang
Ofir Nachum
Chelsea Finn
Julian Ibarz
Sergey Levine
OODOffRL
102
204
0
28 Feb 2018
DiGrad: Multi-Task Reinforcement Learning with Shared Actions
DiGrad: Multi-Task Reinforcement Learning with Shared Actions
Parijat Dewangan
S. Teja
K. M. Krishna
Abhishek Sarkar
Balaraman Ravindran
43
7
0
27 Feb 2018
Addressing Function Approximation Error in Actor-Critic Methods
Addressing Function Approximation Error in Actor-Critic Methods
Scott Fujimoto
H. V. Hoof
David Meger
OffRL
323
5,244
0
26 Feb 2018
Weighted Double Deep Multiagent Reinforcement Learning in Stochastic
  Cooperative Environments
Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments
Yan Zheng
Jianye Hao
Zongzhang Zhang
OffRL
63
38
0
23 Feb 2018
Fourier Policy Gradients
Fourier Policy Gradients
M. Fellows
K. Ciosek
Shimon Whiteson
53
15
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
39
2
0
18 Feb 2018
Efficient Exploration through Bayesian Deep Q-Networks
Efficient Exploration through Bayesian Deep Q-Networks
Kamyar Azizzadenesheli
Anima Anandkumar
OffRLBDL
101
163
0
13 Feb 2018
More Robust Doubly Robust Off-policy Evaluation
More Robust Doubly Robust Off-policy Evaluation
Mehrdad Farajtabar
Yinlam Chow
Mohammad Ghavamzadeh
OffRL
93
270
0
10 Feb 2018
Learning Robust Options
Learning Robust Options
D. Mankowitz
Timothy A. Mann
Pierre-Luc Bacon
Doina Precup
Shie Mannor
80
48
0
09 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
53
26
0
08 Feb 2018
Efficient collective swimming by harnessing vortices through deep
  reinforcement learning
Efficient collective swimming by harnessing vortices through deep reinforcement learning
S. Verma
G. Novati
Petros Koumoutsakos
70
367
0
07 Feb 2018
Decomposition Methods with Deep Corrections for Reinforcement Learning
Decomposition Methods with Deep Corrections for Reinforcement Learning
Maxime Bouton
Kyle D. Julian
A. Nakhaei
K. Fujimura
Mykel J. Kochenderfer
43
7
0
06 Feb 2018
Shared Autonomy via Deep Reinforcement Learning
Shared Autonomy via Deep Reinforcement Learning
S. Reddy
Anca Dragan
Sergey Levine
81
182
0
06 Feb 2018
Elements of Effective Deep Reinforcement Learning towards Tactical
  Driving Decision Making
Elements of Effective Deep Reinforcement Learning towards Tactical Driving Decision Making
Jingchu Liu
Pengfei Hou
Lisen Mu
Yinan Yu
Chang Huang
78
14
0
01 Feb 2018
A Deep Reinforcement Learning Approach for Dynamically Stable Inverse
  Kinematics of Humanoid Robots
A Deep Reinforcement Learning Approach for Dynamically Stable Inverse Kinematics of Humanoid Robots
S. Teja
Parijat Dewangan
P. Guhan
Abhishek Sarkar
K Madhava Krishna
70
55
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
68
16
0
29 Jan 2018
Using deep Q-learning to understand the tax evasion behavior of
  risk-averse firms
Using deep Q-learning to understand the tax evasion behavior of risk-averse firms
Nikolaos Goumagias
D. Hristu-Varsakelis
Yannis Assael
47
27
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
43
2
0
26 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
92
364
0
17 Jan 2018
Deep In-GPU Experience Replay
Deep In-GPU Experience Replay
Ben Parr
OffRLVLM
18
2
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
87
24
0
09 Jan 2018
Sample-Efficient Reinforcement Learning through Transfer and
  Architectural Priors
Sample-Efficient Reinforcement Learning through Transfer and Architectural Priors
Benjamin Spector
Serge J. Belongie
OffRL
57
15
0
07 Jan 2018
Faster Deep Q-learning using Neural Episodic Control
Faster Deep Q-learning using Neural Episodic Control
Daichi Nishio
S. Yamane
OffRL
82
10
0
06 Jan 2018
ViZDoom: DRQN with Prioritized Experience Replay, Double-Q Learning, &
  Snapshot Ensembling
ViZDoom: DRQN with Prioritized Experience Replay, Double-Q Learning, & Snapshot Ensembling
Christopher Schulze
Marcus Schulze
115
32
0
03 Jan 2018
RLlib: Abstractions for Distributed Reinforcement Learning
RLlib: Abstractions for Distributed Reinforcement Learning
Eric Liang
Richard Liaw
Philipp Moritz
Robert Nishihara
Roy Fox
Ken Goldberg
Joseph E. Gonzalez
Michael I. Jordan
Ion Stoica
OffRLAI4CE
107
175
0
26 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
75
30
0
22 Dec 2017
Safe Policy Improvement with Baseline Bootstrapping
Safe Policy Improvement with Baseline Bootstrapping
Romain Laroche
P. Trichelair
Rémi Tachet des Combes
OffRL
96
201
0
19 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
144
697
0
18 Dec 2017
Towards a Deep Reinforcement Learning Approach for Tower Line Wars
Towards a Deep Reinforcement Learning Approach for Tower Line Wars
Per-Arne Andersen
M. G. Olsen
Ole-Christoffer Granmo
47
3
0
17 Dec 2017
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