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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
DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep
  Q-Learning and Graph Attention Networks
DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention Networks
Peide Cai
Hengli Wang
Yuxiang Sun
Ming-Yuan Liu
GNN
95
39
0
11 Aug 2021
Maximizing Influence with Graph Neural Networks
Maximizing Influence with Graph Neural Networks
G. Panagopoulos
Nikolaos Tziortziotis
Michalis Vazirgiannis
Fragkiskos D. Malliaros
29
8
0
10 Aug 2021
A Survey on Deep Reinforcement Learning for Data Processing and
  Analytics
A Survey on Deep Reinforcement Learning for Data Processing and Analytics
Qingpeng Cai
Can Cui
Yiyuan Xiong
Wei Wang
Zhongle Xie
Meihui Zhang
OffRL
58
31
0
10 Aug 2021
Deep Reinforcement Learning for Demand Driven Services in Logistics and
  Transportation Systems: A Survey
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey
Zefang Zong
Tao Feng
Tong Xia
Depeng Jin
Yong Li
52
3
0
10 Aug 2021
Modified Double DQN: addressing stability
Modified Double DQN: addressing stability
Shervin Halat
M. Ebadzadeh
27
2
0
09 Aug 2021
Distilling Neuron Spike with High Temperature in Reinforcement Learning
  Agents
Distilling Neuron Spike with High Temperature in Reinforcement Learning Agents
Ling Zhang
Jian Cao
Yuan Zhang
Bohan Zhou
Shuo Feng
46
9
0
05 Aug 2021
High Performance Across Two Atari Paddle Games Using the Same Perceptual
  Control Architecture Without Training
High Performance Across Two Atari Paddle Games Using the Same Perceptual Control Architecture Without Training
T. Gulrez
W. Mansell
26
0
0
04 Aug 2021
RAIN: Reinforced Hybrid Attention Inference Network for Motion
  Forecasting
RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting
Jiachen Li
Fan Yang
Hengbo Ma
Srikanth Malla
Masayoshi Tomizuka
Chiho Choi
91
42
0
03 Aug 2021
Flip Learning: Erase to Segment
Flip Learning: Erase to Segment
Yuhao Huang
Xin Yang
Yuxin Zou
Chaoyu Chen
Jian Wang
Haoran Dou
Nishant Ravikumar
Alejandro F Frangi
Jianqiao Zhou
Dong Ni
40
9
0
02 Aug 2021
Learning to Control DC Motor for Micromobility in Real Time with
  Reinforcement Learning
Learning to Control DC Motor for Micromobility in Real Time with Reinforcement Learning
Bibek Poudel
Thomas Watson
Weizi Li
60
14
0
31 Jul 2021
Value-Based Reinforcement Learning for Continuous Control Robotic
  Manipulation in Multi-Task Sparse Reward Settings
Value-Based Reinforcement Learning for Continuous Control Robotic Manipulation in Multi-Task Sparse Reward Settings
Sreehari Rammohan
Shangqun Yu
Bowen He
Eric Hsiung
Eric Rosen
Stefanie Tellex
George Konidaris
OffRL
18
4
0
28 Jul 2021
Human-Level Reinforcement Learning through Theory-Based Modeling,
  Exploration, and Planning
Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning
Pedro Tsividis
J. Loula
Jake Burga
Nathan Foss
Andres Campero
Thomas Pouncy
S. Gershman
J. Tenenbaum
LM&Ro
59
48
0
27 Jul 2021
An Improved Algorithm of Robot Path Planning in Complex Environment
  Based on Double DQN
An Improved Algorithm of Robot Path Planning in Complex Environment Based on Double DQN
Fei Zhang
Chaochen Gu
Fengming Yang
16
11
0
23 Jul 2021
Trajectory Design for UAV-Based Internet-of-Things Data Collection: A
  Deep Reinforcement Learning Approach
Trajectory Design for UAV-Based Internet-of-Things Data Collection: A Deep Reinforcement Learning Approach
Yang Wang
Zhen Gao
Jun Zhang
Xianbin Cao
Dezhi Zheng
Yue Gao
Derrick Wing Kwan Ng
M. Di Renzo
70
99
0
23 Jul 2021
A reinforcement learning approach to resource allocation in genomic
  selection
A reinforcement learning approach to resource allocation in genomic selection
Saba Moeinizade
Guiping Hu
Lizhi Wang
60
15
0
22 Jul 2021
A Deep Reinforcement Learning Approach for Fair Traffic Signal Control
A Deep Reinforcement Learning Approach for Fair Traffic Signal Control
Majid Raeis
A. Leon-Garcia
48
13
0
21 Jul 2021
Bayesian Controller Fusion: Leveraging Control Priors in Deep
  Reinforcement Learning for Robotics
Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics
Krishan Rana
Vibhavari Dasagi
Jesse Haviland
Ben Talbot
Michael Milford
Niko Sünderhauf
BDLOffRL
76
34
0
21 Jul 2021
Learning Altruistic Behaviours in Reinforcement Learning without
  External Rewards
Learning Altruistic Behaviours in Reinforcement Learning without External Rewards
Tim Franzmeyer
Mateusz Malinowski
João F. Henriques
58
8
0
20 Jul 2021
Active 3D Shape Reconstruction from Vision and Touch
Active 3D Shape Reconstruction from Vision and Touch
Edward James Smith
David Meger
Luis Villaseñor-Pineda
Roberto Calandra
Jitendra Malik
Adriana Romero
M. Drozdzal
93
47
0
20 Jul 2021
Constrained Policy Gradient Method for Safe and Fast Reinforcement
  Learning: a Neural Tangent Kernel Based Approach
Constrained Policy Gradient Method for Safe and Fast Reinforcement Learning: a Neural Tangent Kernel Based Approach
B. Varga
Balázs Kulcsár
M. Chehreghani
70
1
0
19 Jul 2021
Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated
  Exploration
Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration
Lukas Schafer
Filippos Christianos
Josiah P. Hanna
Stefano V. Albrecht
92
23
0
19 Jul 2021
High-level Decisions from a Safe Maneuver Catalog with Reinforcement
  Learning for Safe and Cooperative Automated Merging
High-level Decisions from a Safe Maneuver Catalog with Reinforcement Learning for Safe and Cooperative Automated Merging
Danial Kamran
Yu Ren
Martin Lauer
52
10
0
15 Jul 2021
A Reinforcement Learning Environment for Mathematical Reasoning via
  Program Synthesis
A Reinforcement Learning Environment for Mathematical Reasoning via Program Synthesis
Joseph Palermo
Johnny Ye
Alok Singh
AIMat
97
2
0
15 Jul 2021
The Benchmark Lottery
The Benchmark Lottery
Mostafa Dehghani
Yi Tay
A. Gritsenko
Zhe Zhao
N. Houlsby
Fernando Diaz
Donald Metzler
Oriol Vinyals
117
92
0
14 Jul 2021
QoS-Aware Scheduling in New Radio Using Deep Reinforcement Learning
QoS-Aware Scheduling in New Radio Using Deep Reinforcement Learning
Jakob Stigenberg
Vidit Saxena
Soma Tayamon
E. Ghadimi
28
3
0
14 Jul 2021
Transfer Learning in Multi-Agent Reinforcement Learning with Double
  Q-Networks for Distributed Resource Sharing in V2X Communication
Transfer Learning in Multi-Agent Reinforcement Learning with Double Q-Networks for Distributed Resource Sharing in V2X Communication
Hammad Zafar
Zoran Utkovski
Martin Kasparick
S. Stańczak
OffRL
29
3
0
13 Jul 2021
Conservative Offline Distributional Reinforcement Learning
Conservative Offline Distributional Reinforcement Learning
Yecheng Jason Ma
Dinesh Jayaraman
Osbert Bastani
OffRL
106
83
0
12 Jul 2021
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning
Erdun Gao
Fan Feng
Chaochao Lu
Sara Magliacane
Kun Zhang
106
68
0
06 Jul 2021
Fast-Learning Grasping and Pre-Grasping via Clutter Quantization and
  Q-map Masking
Fast-Learning Grasping and Pre-Grasping via Clutter Quantization and Q-map Masking
Dafa Ren
Xiaoqiang Ren
Xiaofan Wang
Sundara Tejaswi Digumarti
Guodong Shi
21
9
0
06 Jul 2021
Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement
  Learning
Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement Learning
Muhammad Rizki Maulana
W. Lee
46
1
0
05 Jul 2021
Low-Dimensional State and Action Representation Learning with MDP
  Homomorphism Metrics
Low-Dimensional State and Action Representation Learning with MDP Homomorphism Metrics
N. Botteghi
M. Poel
B. Sirmaçek
C. Brune
58
3
0
04 Jul 2021
Hierarchical Policies for Cluttered-Scene Grasping with Latent Plans
Hierarchical Policies for Cluttered-Scene Grasping with Latent Plans
Lirui Wang
Xiangyun Meng
Yu Xiang
Dieter Fox
3DPCDRL
73
27
0
04 Jul 2021
A Novel Deep Reinforcement Learning Based Stock Direction Prediction
  using Knowledge Graph and Community Aware Sentiments
A Novel Deep Reinforcement Learning Based Stock Direction Prediction using Knowledge Graph and Community Aware Sentiments
Anil Berk Altuner
Zeynep Hilal Kilimci
AIFin
29
15
0
02 Jul 2021
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under
  Data Augmentation
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation
Nicklas Hansen
H. Su
Xiaolong Wang
OffRL
110
137
0
01 Jul 2021
Offline-to-Online Reinforcement Learning via Balanced Replay and
  Pessimistic Q-Ensemble
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble
Seunghyun Lee
Younggyo Seo
Kimin Lee
Pieter Abbeel
Jinwoo Shin
OffRLOnRL
76
192
0
01 Jul 2021
Productivity, Portability, Performance: Data-Centric Python
Productivity, Portability, Performance: Data-Centric Python
Yiheng Wang
Yao Zhang
Yanzhang Wang
Yan Wan
Jiao Wang
Zhongyuan Wu
Yuhao Yang
Bowen She
169
101
0
01 Jul 2021
Drone swarm patrolling with uneven coverage requirements
Drone swarm patrolling with uneven coverage requirements
C. Piciarelli
G. Foresti
AI4TS
32
9
0
01 Jul 2021
Deep Multiagent Reinforcement Learning: Challenges and Directions
Deep Multiagent Reinforcement Learning: Challenges and Directions
Annie Wong
Thomas Bäck
Anna V. Kononova
Aske Plaat
AI4CE
116
97
0
29 Jun 2021
Convergent and Efficient Deep Q Network Algorithm
Convergent and Efficient Deep Q Network Algorithm
Zhikang T. Wang
Masahito Ueda
80
12
0
29 Jun 2021
Expert Q-learning: Deep Reinforcement Learning with Coarse State Values
  from Offline Expert Examples
Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples
Li Meng
Anis Yazidi
Morten Goodwin
P. Engelstad
OffRL
26
2
0
28 Jun 2021
Reinforcement Learning for Physical Layer Communications
Reinforcement Learning for Physical Layer Communications
P. Mary
V. Koivunen
C. Moy
AI4CE
38
3
0
22 Jun 2021
Analytically Tractable Bayesian Deep Q-Learning
Analytically Tractable Bayesian Deep Q-Learning
Luong Ha
L. Nguyen
J. Goulet
BDLOffRL
35
2
0
21 Jun 2021
Hi-Phy: A Benchmark for Hierarchical Physical Reasoning
Cheng Xue
Vimukthini Pinto
C. Gamage
Peng Zhang
Jochen Renz
59
0
0
17 Jun 2021
Modelling resource allocation in uncertain system environment through
  deep reinforcement learning
Modelling resource allocation in uncertain system environment through deep reinforcement learning
Neel Gandhi
Shakti Mishra
32
1
0
17 Jun 2021
CROP: Certifying Robust Policies for Reinforcement Learning through
  Functional Smoothing
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing
Fan Wu
Linyi Li
Zijian Huang
Yevgeniy Vorobeychik
Ding Zhao
Yue Liu
AAMLOffRL
85
61
0
17 Jun 2021
Learning Robot Exploration Strategy with 4D Point-Clouds-like
  Information as Observations
Learning Robot Exploration Strategy with 4D Point-Clouds-like Information as Observations
Zhaoting Li
Tingguang Li
Jiankun Wang
Max Meng
3DPC
48
2
0
17 Jun 2021
Offline RL Without Off-Policy Evaluation
Offline RL Without Off-Policy Evaluation
David Brandfonbrener
William F. Whitney
Rajesh Ranganath
Joan Bruna
OffRL
110
170
0
16 Jun 2021
Analysis and Optimisation of Bellman Residual Errors with Neural
  Function Approximation
Analysis and Optimisation of Bellman Residual Errors with Neural Function Approximation
Martin Gottwald
Sven Gronauer
Hao Shen
Klaus Diepold
36
3
0
16 Jun 2021
User-Guided Personalized Image Aesthetic Assessment based on Deep
  Reinforcement Learning
User-Guided Personalized Image Aesthetic Assessment based on Deep Reinforcement Learning
Pei Lv
Jianqing Fan
Xixi Nie
Weiming Dong
Xiaoheng Jiang
Bing Zhou
Mingliang Xu
Changsheng Xu
57
29
0
14 Jun 2021
A Deep Reinforcement Learning Approach to Marginalized Importance
  Sampling with the Successor Representation
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation
Scott Fujimoto
David Meger
Doina Precup
76
17
0
12 Jun 2021
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