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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
Robotic Surgery With Lean Reinforcement Learning
Robotic Surgery With Lean Reinforcement Learning
Yotam Barnoy
Molly O'Brien
Wenjie Wang
Gregory D. Hager
OffRL
74
21
0
03 May 2021
Action Candidate Based Clipped Double Q-learning for Discrete and
  Continuous Action Tasks
Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action Tasks
Qianliang Wu
Jin Xie
Jian Yang
OffRL
21
15
0
03 May 2021
BI-REC: Guided Data Analysis for Conversational Business Intelligence
BI-REC: Guided Data Analysis for Conversational Business Intelligence
Venkata Vamsikrishna Meduri
A. Quamar
Chuan Lei
Vasilis Efthymiou
Fatma Özcan
16
3
0
02 May 2021
Pedestrian Collision Avoidance for Autonomous Vehicles at Unsignalized
  Intersection Using Deep Q-Network
Pedestrian Collision Avoidance for Autonomous Vehicles at Unsignalized Intersection Using Deep Q-Network
Kasra Mokhtari
Alan R. Wagner
30
6
0
01 May 2021
Constructions in combinatorics via neural networks
Constructions in combinatorics via neural networks
Adam Zsolt Wagner
BDL
171
52
0
29 Apr 2021
Hypernetwork Dismantling via Deep Reinforcement Learning
Hypernetwork Dismantling via Deep Reinforcement Learning
Dengcheng Yan
Wenxin Xie
Yiwen Zhang
Qiang He
Yun Yang
53
17
0
29 Apr 2021
RP-DQN: An application of Q-Learning to Vehicle Routing Problems
RP-DQN: An application of Q-Learning to Vehicle Routing Problems
Ahmad Bdeir
Simon Boeder
Tim Dernedde
K. Tkachuk
Jonas K. Falkner
Lars Schmidt-Thieme
34
10
0
25 Apr 2021
A Deep Reinforcement Learning Approach for the Meal Delivery Problem
A Deep Reinforcement Learning Approach for the Meal Delivery Problem
H. Jahanshahi
Aysun Bozanta
Mucahit Cevik
E. M. Kavuk
Ayse Tosun Misirli
Sibel B. Sonuc
Bilgin Kosucu
Ayse Basar
67
28
0
24 Apr 2021
Realising Active Inference in Variational Message Passing: the
  Outcome-blind Certainty Seeker
Realising Active Inference in Variational Message Passing: the Outcome-blind Certainty Seeker
Théophile Champion
Marek Grze's
Howard L. Bowman
51
1
0
23 Apr 2021
Independent Reinforcement Learning for Weakly Cooperative Multiagent
  Traffic Control Problem
Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem
Chengwei Zhang
Shan Jin
Wanli Xue
Xiaofei Xie
Shengyong Chen
Rong Chen
75
26
0
22 Apr 2021
SeReMAS: Self-Resilient Mobile Autonomous Systems Through Predictive
  Edge Computing
SeReMAS: Self-Resilient Mobile Autonomous Systems Through Predictive Edge Computing
Davide Callegaro
Marco Levorato
Francesco Restuccia
33
11
0
22 Apr 2021
Tackling Variabilities in Autonomous Driving
Tackling Variabilities in Autonomous Driving
Yuqiong Qi
Yang Hu
Haibin Wu
Shen Li
Haiyu Mao
Xiaochun Ye
Xiaochun Ye
Ninghui Sun
24
1
0
21 Apr 2021
Discovering an Aid Policy to Minimize Student Evasion Using Offline
  Reinforcement Learning
Discovering an Aid Policy to Minimize Student Evasion Using Offline Reinforcement Learning
Leandro M. de Lima
R. Krohling
OffRL
62
4
0
20 Apr 2021
Probabilistic Mixture-of-Experts for Efficient Deep Reinforcement
  Learning
Probabilistic Mixture-of-Experts for Efficient Deep Reinforcement Learning
Jie Ren
Yewen Li
Zihan Ding
Wei Pan
Hao Dong
BDLMoE
52
26
0
19 Apr 2021
Planning with Expectation Models for Control
Planning with Expectation Models for Control
Katya Kudashkina
Yi Wan
Abhishek Naik
R. Sutton
OffRL
30
0
0
17 Apr 2021
Action Advising with Advice Imitation in Deep Reinforcement Learning
Action Advising with Advice Imitation in Deep Reinforcement Learning
Ercüment Ilhan
Jeremy Gow
Diego Perez-Liebana
38
11
0
17 Apr 2021
Learning on a Budget via Teacher Imitation
Learning on a Budget via Teacher Imitation
Ercüment Ilhan
Jeremy Gow
Diego Perez-Liebana
OffRL
58
2
0
17 Apr 2021
Towards Standardising Reinforcement Learning Approaches for Production
  Scheduling Problems
Towards Standardising Reinforcement Learning Approaches for Production Scheduling Problems
Alexandru Rinciog
Anne Meyer
OffRL
27
10
0
16 Apr 2021
MEG: Generating Molecular Counterfactual Explanations for Deep Graph
  Networks
MEG: Generating Molecular Counterfactual Explanations for Deep Graph Networks
Danilo Numeroso
D. Bacciu
71
41
0
16 Apr 2021
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural
  Networks
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
Hao Peng
Ruitong Zhang
Yingtong Dou
Renyu Yang
Jingyi Zhang
Philip S. Yu
143
119
0
16 Apr 2021
A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task
  Video Analytics Pipeline
A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline
Yingying Zhao
Mingzhi Dong
Yujiang Wang
Dan Feng
Q. Lv
Robert P. Dick
Dongsheng Li
Tun Lu
Ning Gu
L. Shang
134
8
0
09 Apr 2021
Distributed Deep Reinforcement Learning for Collaborative Spectrum
  Sharing
Distributed Deep Reinforcement Learning for Collaborative Spectrum Sharing
P. Pawar
Amir Leshem
19
3
0
06 Apr 2021
NQMIX: Non-monotonic Value Function Factorization for Deep Multi-Agent
  Reinforcement Learning
NQMIX: Non-monotonic Value Function Factorization for Deep Multi-Agent Reinforcement Learning
Quanlin Chen
OffRL
41
0
0
05 Apr 2021
Replay in Deep Learning: Current Approaches and Missing Biological
  Elements
Replay in Deep Learning: Current Approaches and Missing Biological Elements
Tyler L. Hayes
G. Krishnan
M. Bazhenov
H. Siegelmann
T. Sejnowski
Christopher Kanan
CLL
77
132
0
01 Apr 2021
Solving Heterogeneous General Equilibrium Economic Models with Deep
  Reinforcement Learning
Solving Heterogeneous General Equilibrium Economic Models with Deep Reinforcement Learning
Edward W. Hill
M. Bardoscia
A. Turrell
67
25
0
31 Mar 2021
Deep Reinforcement Learning for Resource Allocation in Business
  Processes
Deep Reinforcement Learning for Resource Allocation in Business Processes
Kamil Zbikowski
Michal Ostapowicz
P. Gawrysiak
36
9
0
29 Mar 2021
Increasing the Efficiency of Policy Learning for Autonomous Vehicles by
  Multi-Task Representation Learning
Increasing the Efficiency of Policy Learning for Autonomous Vehicles by Multi-Task Representation Learning
E. Kargar
Ville Kyrki
34
11
0
26 Mar 2021
CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based
  RL
CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based RL
Iretiayo Akinola
Zizhao Wang
Peter K. Allen
62
2
0
24 Mar 2021
The Gradient Convergence Bound of Federated Multi-Agent Reinforcement
  Learning with Efficient Communication
The Gradient Convergence Bound of Federated Multi-Agent Reinforcement Learning with Efficient Communication
Xing Xu
Rongpeng Li
Zhifeng Zhao
Honggang Zhang
84
12
0
24 Mar 2021
Spatial Intention Maps for Multi-Agent Mobile Manipulation
Spatial Intention Maps for Multi-Agent Mobile Manipulation
Jimmy Wu
Xingyuan Sun
Andy Zeng
Shuran Song
Szymon Rusinkiewicz
Thomas Funkhouser
86
25
0
23 Mar 2021
Regularized Softmax Deep Multi-Agent $Q$-Learning
Regularized Softmax Deep Multi-Agent QQQ-Learning
L. Pan
Tabish Rashid
Bei Peng
Longbo Huang
Shimon Whiteson
114
36
0
22 Mar 2021
Variational quantum compiling with double Q-learning
Variational quantum compiling with double Q-learning
Zhimin He
Lvzhou Li
Shenggen Zheng
Yongyao Li
Haozhen Situ
60
44
0
22 Mar 2021
RLTIR: Activity-based Interactive Person Identification based on
  Reinforcement Learning Tree
RLTIR: Activity-based Interactive Person Identification based on Reinforcement Learning Tree
Qingyang Li
Zhiwen Yu
L. Yao
Bin Guo
24
4
0
20 Mar 2021
Learning to Recommend Frame for Interactive Video Object Segmentation in
  the Wild
Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild
Zhao-Heng Yin
Jia Zheng
Weixin Luo
Shenhan Qian
Hanling Zhang
Shenghua Gao
VOS
78
17
0
18 Mar 2021
Building Safer Autonomous Agents by Leveraging Risky Driving Behavior
  Knowledge
Building Safer Autonomous Agents by Leveraging Risky Driving Behavior Knowledge
Ashish Rana
A. Malhi
88
9
0
16 Mar 2021
Learning Symbolic Rules for Interpretable Deep Reinforcement Learning
Learning Symbolic Rules for Interpretable Deep Reinforcement Learning
Zhihao Ma
Yuzheng Zhuang
Paul Weng
Hankui Zhuo
Dong Li
Wulong Liu
Jianye Hao
NAI
140
14
0
15 Mar 2021
Modelling Human Kinetics and Kinematics during Walking using
  Reinforcement Learning
Modelling Human Kinetics and Kinematics during Walking using Reinforcement Learning
Visak C. V. Kumar
14
0
0
15 Mar 2021
Optimal sequential decision making with probabilistic digital twins
Optimal sequential decision making with probabilistic digital twins
C. Agrell
Kristina Rognlien Dahl
A. Hafver
58
8
0
12 Mar 2021
Generalizable Episodic Memory for Deep Reinforcement Learning
Generalizable Episodic Memory for Deep Reinforcement Learning
Haotian Hu
Jianing Ye
Guangxiang Zhu
Zhizhou Ren
Chongjie Zhang
OffRL
84
39
0
11 Mar 2021
XDO: A Double Oracle Algorithm for Extensive-Form Games
XDO: A Double Oracle Algorithm for Extensive-Form Games
Stephen Marcus McAleer
John Lanier
Kevin A. Wang
Pierre Baldi
Roy Fox
72
54
0
11 Mar 2021
A Vision Based Deep Reinforcement Learning Algorithm for UAV Obstacle
  Avoidance
A Vision Based Deep Reinforcement Learning Algorithm for UAV Obstacle Avoidance
Jeremy Roghair
Kyungtae Ko
Amir Ehsan Niaraki Asli
Ali Jannesari
74
33
0
11 Mar 2021
Analyzing the Hidden Activations of Deep Policy Networks: Why
  Representation Matters
Analyzing the Hidden Activations of Deep Policy Networks: Why Representation Matters
Trevor A. McInroe
Michael Spurrier
J. Sieber
Stephen Conneely
33
0
0
11 Mar 2021
Full Gradient DQN Reinforcement Learning: A Provably Convergent Scheme
Full Gradient DQN Reinforcement Learning: A Provably Convergent Scheme
Konstantin Avrachenkov
Vivek Borkar
H. Dolhare
K. Patil
60
9
0
10 Mar 2021
Domain-Robust Visual Imitation Learning with Mutual Information
  Constraints
Domain-Robust Visual Imitation Learning with Mutual Information Constraints
Edoardo Cetin
Oya Celiktutan
OODDRL
65
21
0
08 Mar 2021
Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement
  Learning
Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning
Patrick Wenzel
Torsten Schön
Laura Leal-Taixé
Zorah Lähner
53
40
0
08 Mar 2021
Distributed Reinforcement Learning for Flexible and Efficient UAV Swarm
  Control
Distributed Reinforcement Learning for Flexible and Efficient UAV Swarm Control
Federico Venturini
Federico Mason
Francesco Pase
Federico Chiariotti
Alberto Testolin
Andrea Zanella
M. Zorzi
68
35
0
08 Mar 2021
Self-Supervised Online Reward Shaping in Sparse-Reward Environments
Self-Supervised Online Reward Shaping in Sparse-Reward Environments
F. Memarian
Wonjoon Goo
Rudolf Lioutikov
S. Niekum
Ufuk Topcu
OffRL
110
49
0
08 Mar 2021
Adaptive Agent Architecture for Real-time Human-Agent Teaming
Adaptive Agent Architecture for Real-time Human-Agent Teaming
Tianwei Ni
Huao Li
Siddharth Agrawal
S. Raja
Fan Jia
Yikang Gui
Dana Hughes
M. Lewis
Katia Sycara
25
0
0
07 Mar 2021
Visual Explanation using Attention Mechanism in Actor-Critic-based Deep
  Reinforcement Learning
Visual Explanation using Attention Mechanism in Actor-Critic-based Deep Reinforcement Learning
Hidenori Itaya
Tsubasa Hirakawa
Takayoshi Yamashita
H. Fujiyoshi
K. Sugiura
76
19
0
06 Mar 2021
Dynamic Resource Management for Providing QoS in Drone Delivery Systems
Dynamic Resource Management for Providing QoS in Drone Delivery Systems
Behzad Khamidehi
Majid Raeis
E. Sousa
22
4
0
06 Mar 2021
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