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Deep Reinforcement Learning with Double Q-learning

Deep Reinforcement Learning with Double Q-learning

22 September 2015
H. V. Hasselt
A. Guez
David Silver
    OffRL
ArXivPDFHTML

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

50 / 946 papers shown
Title
Double Deep Q-Learning in Opponent Modeling
Double Deep Q-Learning in Opponent Modeling
Yangtianze Tao
J. Doe
26
3
0
24 Nov 2022
Actively Learning Costly Reward Functions for Reinforcement Learning
Actively Learning Costly Reward Functions for Reinforcement Learning
André Eberhard
Houssam Metni
G. Fahland
A. Stroh
Pascal Friederich
OffRL
43
0
0
23 Nov 2022
Representation Learning for Continuous Action Spaces is Beneficial for
  Efficient Policy Learning
Representation Learning for Continuous Action Spaces is Beneficial for Efficient Policy Learning
Tingting Zhao
Ying Wang
Weidong Sun
Yarui Chen
Gang Niu
Masashi Sugiyama
19
1
0
23 Nov 2022
SafeLight: A Reinforcement Learning Method toward Collision-free Traffic
  Signal Control
SafeLight: A Reinforcement Learning Method toward Collision-free Traffic Signal Control
Wenlu Du
J. Ye
Jingyi Gu
Jing Li
Hua Wei
Gui-Liu Wang
33
29
0
20 Nov 2022
Evaluating the Perceived Safety of Urban City via Maximum Entropy Deep
  Inverse Reinforcement Learning
Evaluating the Perceived Safety of Urban City via Maximum Entropy Deep Inverse Reinforcement Learning
Yaxuan Wang
Zhixin Zeng
Qijun Zhao
23
0
0
19 Nov 2022
Prediction-aware and Reinforcement Learning based Altruistic Cooperative
  Driving
Prediction-aware and Reinforcement Learning based Altruistic Cooperative Driving
Rodolfo Valiente
Mahdi Razzaghpour
Behrad Toghi
Ghayoor Shah
Y. P. Fallah
30
14
0
19 Nov 2022
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
Daniel Jarrett
Corentin Tallec
Florent Altché
Thomas Mesnard
Rémi Munos
Michal Valko
53
5
0
18 Nov 2022
Giving Feedback on Interactive Student Programs with Meta-Exploration
Giving Feedback on Interactive Student Programs with Meta-Exploration
E. Liu
Moritz Stephan
Allen Nie
Chris Piech
Emma Brunskill
Chelsea Finn
AI4Ed
45
8
0
16 Nov 2022
Boosting Object Representation Learning via Motion and Object Continuity
Boosting Object Representation Learning via Motion and Object Continuity
Quentin Delfosse
Wolfgang Stammer
Thomas Rothenbacher
Dwarak Vittal
Kristian Kersting
OCL
54
20
0
16 Nov 2022
Parallel Automatic History Matching Algorithm Using Reinforcement
  Learning
Parallel Automatic History Matching Algorithm Using Reinforcement Learning
Omar S. Alolayan
Abdullah O. Alomar
John R. Williams
33
6
0
14 Nov 2022
Learning to Follow Instructions in Text-Based Games
Learning to Follow Instructions in Text-Based Games
Mathieu Tuli
Andrew C. Li
Pashootan Vaezipoor
Toryn Q. Klassen
Scott Sanner
Sheila A. McIlraith
41
13
0
08 Nov 2022
Progress and summary of reinforcement learning on energy management of
  MPS-EV
Progress and summary of reinforcement learning on energy management of MPS-EV
Jincheng Hu
Yang Lin
Liang Chu
Zhuoran Hou
Jihan Li
Jingjing Jiang
Yuanjian Zhang
28
13
0
08 Nov 2022
Machine Learning-Aided Operations and Communications of Unmanned Aerial
  Vehicles: A Contemporary Survey
Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Survey
Harrison Kurunathan
Hailong Huang
Kai Li
Wei Ni
Ekram Hossain
36
70
0
07 Nov 2022
Spatio-temporal Incentives Optimization for Ride-hailing Services with
  Offline Deep Reinforcement Learning
Spatio-temporal Incentives Optimization for Ride-hailing Services with Offline Deep Reinforcement Learning
Yanqiu Wu
Qingyang Li
Zhiwei Qin
OffRL
20
3
0
06 Nov 2022
A Survey on Influence Maximization: From an ML-Based Combinatorial
  Optimization
A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization
Yandi Li
Haobo Gao
Yunxuan Gao
Jianxiong Guo
Weili Wu
32
39
0
06 Nov 2022
Graph Reinforcement Learning Application to Co-operative Decision-Making
  in Mixed Autonomy Traffic: Framework, Survey, and Challenges
Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges
Qi Liu
Xueyuan Li
Zirui Li
Jingda Wu
Guodong Du
Xinlu Gao
Fan Yang
Shihua Yuan
54
8
0
06 Nov 2022
Achieving mouse-level strategic evasion performance using real-time
  computational planning
Achieving mouse-level strategic evasion performance using real-time computational planning
German Espinosa
Gabrielle E. Wink
Alexander T. Lai
D. Dombeck
Malcolm A. MacIver
16
3
0
04 Nov 2022
A Survey on Reinforcement Learning in Aviation Applications
A Survey on Reinforcement Learning in Aviation Applications
Pouria Razzaghi
Amin Tabrizian
Wei Guo
Shulu Chen
Abenezer Taye
Ellis E. Thompson
Alexis Bregeon
Ali Baheri
Peng Wei
OffRL
23
54
0
03 Nov 2022
Sensor Control for Information Gain in Dynamic, Sparse and Partially
  Observed Environments
Sensor Control for Information Gain in Dynamic, Sparse and Partially Observed Environments
J. Burns
A. Sundaresan
Pedro Sequeira
Vidyasagar Sadhu
29
0
0
03 Nov 2022
Knowing the Past to Predict the Future: Reinforcement Virtual Learning
Knowing the Past to Predict the Future: Reinforcement Virtual Learning
Peng Zhang
Yawen Huang
Bingzhang Hu
Shizheng Wang
Haoran Duan
Noura Al Moubayed
Yefeng Zheng
Yang Long
OffRL
27
0
0
02 Nov 2022
Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement
Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement
Jiachen Yang
K. Mittal
T. Dzanic
S. Petrides
B. Keith
Brenden K. Petersen
Daniel Faissol
R. Anderson
33
8
0
02 Nov 2022
Disentangled (Un)Controllable Features
Disentangled (Un)Controllable Features
Jacob E. Kooi
Mark Hoogendoorn
Vincent François-Lavet
DRL
27
0
0
31 Oct 2022
Knowledge-Guided Exploration in Deep Reinforcement Learning
Knowledge-Guided Exploration in Deep Reinforcement Learning
Sahisnu Mazumder
Bing-Quan Liu
Shuai Wang
Yingxuan Zhu
Xiaotian Yin
Lifeng Liu
Jian Li
50
4
0
26 Oct 2022
A Bibliometric Analysis and Review on Reinforcement Learning for
  Transportation Applications
A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications
Can Li
Lei Bai
L. Yao
S. Waller
Wei Liu
40
14
0
26 Oct 2022
Causal Explanation for Reinforcement Learning: Quantifying State and
  Temporal Importance
Causal Explanation for Reinforcement Learning: Quantifying State and Temporal Importance
Xiaoxiao Wang
Fanyu Meng
Xin Liu
Z. Kong
Xin Chen
XAI
CML
FAtt
52
4
0
24 Oct 2022
On Many-Actions Policy Gradient
On Many-Actions Policy Gradient
Michal Nauman
Marek Cygan
19
0
0
24 Oct 2022
Climate Change Policy Exploration using Reinforcement Learning
Climate Change Policy Exploration using Reinforcement Learning
Theodore Wolf
29
0
0
23 Oct 2022
Solving Continuous Control via Q-learning
Solving Continuous Control via Q-learning
Tim Seyde
Peter Werner
Wilko Schwarting
Igor Gilitschenski
Martin Riedmiller
Daniela Rus
Markus Wulfmeier
OffRL
LRM
47
22
0
22 Oct 2022
Probing Transfer in Deep Reinforcement Learning without Task Engineering
Probing Transfer in Deep Reinforcement Learning without Task Engineering
Andrei A. Rusu
Sebastian Flennerhag
Dushyant Rao
Razvan Pascanu
R. Hadsell
39
6
0
22 Oct 2022
Bridging the Gap Between Target Networks and Functional Regularization
Alexandre Piché
Valentin Thomas
Joseph Marino
Rafael Pardiñas
Gian Maria Marconi
C. Pal
Mohammad Emtiyaz Khan
14
1
0
21 Oct 2022
Deep Reinforcement Learning for Stabilization of Large-scale
  Probabilistic Boolean Networks
Deep Reinforcement Learning for Stabilization of Large-scale Probabilistic Boolean Networks
S. Moschoyiannis
Evangelos Chatzaroulas
Vytenis Sliogeris
Yuhu Wu
BDL
OffRL
AI4CE
24
7
0
21 Oct 2022
Model-based Lifelong Reinforcement Learning with Bayesian Exploration
Model-based Lifelong Reinforcement Learning with Bayesian Exploration
Haotian Fu
Shangqun Yu
Michael Littman
George Konidaris
BDL
OffRL
26
12
0
20 Oct 2022
Dynamic selection of p-norm in linear adaptive filtering via online
  kernel-based reinforcement learning
Dynamic selection of p-norm in linear adaptive filtering via online kernel-based reinforcement learning
Minh Nhat Vu
Yuki Akiyama
Konstantinos Slavakis
23
4
0
20 Oct 2022
The Pump Scheduling Problem: A Real-World Scenario for Reinforcement Learning
The Pump Scheduling Problem: A Real-World Scenario for Reinforcement Learning
Henrique Donancio
L. Vercouter
H. Roclawski
AI4CE
20
1
0
20 Oct 2022
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic
  Reinforcement Learning at Scale
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale
Kuang-Huei Lee
Ted Xiao
A. Li
Paul Wohlhart
Ian S. Fischer
Yao Lu
58
10
0
15 Oct 2022
A Mixture of Surprises for Unsupervised Reinforcement Learning
A Mixture of Surprises for Unsupervised Reinforcement Learning
Andrew Zhao
Matthieu Lin
Yangguang Li
Yang Liu
Gao Huang
33
13
0
13 Oct 2022
Efficient Adversarial Training without Attacking: Worst-Case-Aware
  Robust Reinforcement Learning
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning
Yongyuan Liang
Yanchao Sun
Ruijie Zheng
Furong Huang
OOD
AAML
OffRL
30
47
0
12 Oct 2022
Point Cloud Scene Completion with Joint Color and Semantic Estimation
  from Single RGB-D Image
Point Cloud Scene Completion with Joint Color and Semantic Estimation from Single RGB-D Image
Zhaoxuan Zhang
Xiaoguang Han
B. Dong
Tong Li
Baocai Yin
Xin Yang
3DPC
3DV
38
8
0
12 Oct 2022
Factors of Influence of the Overestimation Bias of Q-Learning
Factors of Influence of the Overestimation Bias of Q-Learning
Julius Wagenbach
M. Sabatelli
20
1
0
11 Oct 2022
Interpretable Option Discovery using Deep Q-Learning and Variational
  Autoencoders
Interpretable Option Discovery using Deep Q-Learning and Variational Autoencoders
Per-Arne Andersen
Ole-Christoffer Granmo
Morten Goodwin
OOD
36
0
0
03 Oct 2022
Deep Recurrent Q-learning for Energy-constrained Coverage with a Mobile
  Robot
Deep Recurrent Q-learning for Energy-constrained Coverage with a Mobile Robot
Aaron Zellner
Ayan Dutta
Iliya Kulbaka
Gokarna Sharma
32
5
0
01 Oct 2022
Reinforcement Learning Algorithms: An Overview and Classification
Reinforcement Learning Algorithms: An Overview and Classification
Fadi AlMahamid
Katarina Grolinger
21
40
0
29 Sep 2022
Ensemble Reinforcement Learning in Continuous Spaces -- A Hierarchical
  Multi-Step Approach for Policy Training
Ensemble Reinforcement Learning in Continuous Spaces -- A Hierarchical Multi-Step Approach for Policy Training
Gang Chen
Victoria Huang
OffRL
45
0
0
29 Sep 2022
Unsupervised Reward Shaping for a Robotic Sequential Picking Task from
  Visual Observations in a Logistics Scenario
Unsupervised Reward Shaping for a Robotic Sequential Picking Task from Visual Observations in a Logistics Scenario
Vittorio Giammarino
Andrew J Meyer
Kai Biegun
OffRL
32
0
0
25 Sep 2022
Computational Discovery of Energy-Efficient Heat Treatment for
  Microstructure Design using Deep Reinforcement Learning
Computational Discovery of Energy-Efficient Heat Treatment for Microstructure Design using Deep Reinforcement Learning
J. Mianroodi
N. Siboni
Dierk Raabe
AI4CE
40
2
0
22 Sep 2022
Pretraining the Vision Transformer using self-supervised methods for
  vision based Deep Reinforcement Learning
Pretraining the Vision Transformer using self-supervised methods for vision based Deep Reinforcement Learning
Manuel Goulão
Arlindo L. Oliveira
ViT
56
6
0
22 Sep 2022
Revisiting Discrete Soft Actor-Critic
Revisiting Discrete Soft Actor-Critic
Haibin Zhou
Zichuan Lin
Junyou Li
Qiang Fu
Wei Yang
Deheng Ye
51
12
0
21 Sep 2022
MAN: Multi-Action Networks Learning
MAN: Multi-Action Networks Learning
Keqin Wang
Alison Bartsch
A. Farimani
21
3
0
19 Sep 2022
A Transferable and Automatic Tuning of Deep Reinforcement Learning for
  Cost Effective Phishing Detection
A Transferable and Automatic Tuning of Deep Reinforcement Learning for Cost Effective Phishing Detection
Orel Lavie
A. Shabtai
Gilad Katz
AAML
OffRL
32
1
0
19 Sep 2022
Self-Optimizing Feature Transformation
Self-Optimizing Feature Transformation
Meng Xiao
Dongjie Wang
Min-Ying Wu
Kunpeng Liu
Hui Xiong
Yuanchun Zhou
Yanjie Fu
38
4
0
16 Sep 2022
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