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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
Local Navigation and Docking of an Autonomous Robot Mower using
  Reinforcement Learning and Computer Vision
Local Navigation and Docking of an Autonomous Robot Mower using Reinforcement Learning and Computer Vision
Ali Taghibakhshi
Nathan Ogden
Matthew West
24
4
0
15 Jan 2021
Cocktail Edge Caching: Ride Dynamic Trends of Content Popularity with
  Ensemble Learning
Cocktail Edge Caching: Ride Dynamic Trends of Content Popularity with Ensemble Learning
Tongyu Zong
Chen Li
Yuanyuan Lei
Guangyu Li
Houwei Cao
Yong Liu
29
42
0
14 Jan 2021
Continuous Deep Q-Learning with Simulator for Stabilization of Uncertain
  Discrete-Time Systems
Continuous Deep Q-Learning with Simulator for Stabilization of Uncertain Discrete-Time Systems
Junya Ikemoto
T. Ushio
OffRL
46
5
0
13 Jan 2021
Linear Representation Meta-Reinforcement Learning for Instant Adaptation
Linear Representation Meta-Reinforcement Learning for Instant Adaptation
Matt Peng
Banghua Zhu
Jiantao Jiao
80
9
0
12 Jan 2021
Developing an OpenAI Gym-compatible framework and simulation environment
  for testing Deep Reinforcement Learning agents solving the Ambulance Location
  Problem
Developing an OpenAI Gym-compatible framework and simulation environment for testing Deep Reinforcement Learning agents solving the Ambulance Location Problem
Michael Allen
K. Pearn
T. Monks
OOD
61
7
0
12 Jan 2021
Action Priors for Large Action Spaces in Robotics
Action Priors for Large Action Spaces in Robotics
Ondrej Biza
Dian Wang
Robert Platt
Jan-Willem van de Meent
Lawson L. S. Wong
78
14
0
11 Jan 2021
Evolving Reinforcement Learning Algorithms
Evolving Reinforcement Learning Algorithms
John D. Co-Reyes
Yingjie Miao
Daiyi Peng
Esteban Real
Sergey Levine
Quoc V. Le
Honglak Lee
Aleksandra Faust
133
74
0
08 Jan 2021
CoachNet: An Adversarial Sampling Approach for Reinforcement Learning
CoachNet: An Adversarial Sampling Approach for Reinforcement Learning
E. Abolfathi
Jun Luo
Peyman Yadmellat
K. Rezaee
OnRL
49
3
0
07 Jan 2021
Deep Reinforcement Learning with Quantum-inspired Experience Replay
Deep Reinforcement Learning with Quantum-inspired Experience Replay
Qing Wei
Hailan Ma
Chunlin Chen
D. Dong
60
72
0
06 Jan 2021
A Survey of Deep RL and IL for Autonomous Driving Policy Learning
A Survey of Deep RL and IL for Autonomous Driving Policy Learning
Zeyu Zhu
Huijing Zhao
147
159
0
06 Jan 2021
Joint Deep Reinforcement Learning and Unfolding: Beam Selection and
  Precoding for mmWave Multiuser MIMO with Lens Arrays
Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO with Lens Arrays
Qiyu Hu
Yanzhen Liu
Yunlong Cai
Guanding Yu
Z. Ding
68
50
0
05 Jan 2021
A Survey on Deep Reinforcement Learning for Audio-Based Applications
A Survey on Deep Reinforcement Learning for Audio-Based Applications
S. Latif
Heriberto Cuayáhuitl
Farrukh Pervez
Fahad Shamshad
Hafiz Shehbaz Ali
Min Zhang
OffRL
123
75
0
01 Jan 2021
POPO: Pessimistic Offline Policy Optimization
POPO: Pessimistic Offline Policy Optimization
Qiang He
Xinwen Hou
OffRL
85
10
0
26 Dec 2020
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search
Y. Fu
Zhongzhi Yu
Yongan Zhang
Yingyan Lin
83
4
0
24 Dec 2020
QVMix and QVMix-Max: Extending the Deep Quality-Value Family of
  Algorithms to Cooperative Multi-Agent Reinforcement Learning
QVMix and QVMix-Max: Extending the Deep Quality-Value Family of Algorithms to Cooperative Multi-Agent Reinforcement Learning
Pascal Leroy
D. Ernst
Pierre Geurts
Gilles Louppe
J. Pisane
M. Sabatelli
53
6
0
22 Dec 2020
Self-Imitation Advantage Learning
Self-Imitation Advantage Learning
Johan Ferret
Olivier Pietquin
Matthieu Geist
169
20
0
22 Dec 2020
Intelligent Resource Allocation in Dense LoRa Networks using Deep
  Reinforcement Learning
Intelligent Resource Allocation in Dense LoRa Networks using Deep Reinforcement Learning
Inaam Ilahi
Muhammad Usama
M. Farooq
M. Janjua
Junaid Qadir
23
17
0
22 Dec 2020
Scalable Deep Reinforcement Learning for Routing and Spectrum Access in
  Physical Layer
Scalable Deep Reinforcement Learning for Routing and Spectrum Access in Physical Layer
Wei Cui
Wei Yu
30
10
0
22 Dec 2020
Reinforcement Learning for Unified Allocation and Patrolling in
  Signaling Games with Uncertainty
Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty
Aravind Venugopal
Elizabeth Bondi-Kelly
Harshavardhan Kamarthi
Keval Dholakia
Balaraman Ravindran
Milind Tambe
49
6
0
18 Dec 2020
Model-free and Bayesian Ensembling Model-based Deep Reinforcement
  Learning for Particle Accelerator Control Demonstrated on the FERMI FEL
Model-free and Bayesian Ensembling Model-based Deep Reinforcement Learning for Particle Accelerator Control Demonstrated on the FERMI FEL
Simon Hirlaender
N. Bruchon
55
23
0
17 Dec 2020
Stabilizing Q Learning Via Soft Mellowmax Operator
Stabilizing Q Learning Via Soft Mellowmax Operator
Yaozhong Gan
Zhe Zhang
Xiaoyang Tan
46
7
0
17 Dec 2020
Sample-Efficient Reinforcement Learning via Counterfactual-Based Data
  Augmentation
Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation
Chaochao Lu
Erdun Gao
Ke Wang
José Miguel Hernández-Lobato
Kun Zhang
Bernhard Schölkopf
CMLOODOffRL
87
60
0
16 Dec 2020
Batch-Constrained Distributional Reinforcement Learning for
  Session-based Recommendation
Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation
Diksha Garg
Priyanka Gupta
Pankaj Malhotra
Lovekesh Vig
Gautam M. Shroff
OffRL
42
8
0
16 Dec 2020
Revocable Deep Reinforcement Learning with Affinity Regularization for
  Outlier-Robust Graph Matching
Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching
Chang-rui Liu
Zetian Jiang
Runzhong Wang
Junchi Yan
Lingxiao Huang
Pinyan Lu
133
10
0
16 Dec 2020
Learning active learning at the crossroads? evaluation and discussion
Learning active learning at the crossroads? evaluation and discussion
L. Desreumaux
V. Lemaire
77
12
0
16 Dec 2020
Policy Gradient RL Algorithms as Directed Acyclic Graphs
Policy Gradient RL Algorithms as Directed Acyclic Graphs
J. Luis
61
0
0
14 Dec 2020
Specializing Inter-Agent Communication in Heterogeneous Multi-Agent
  Reinforcement Learning using Agent Class Information
Specializing Inter-Agent Communication in Heterogeneous Multi-Agent Reinforcement Learning using Agent Class Information
Douglas De Rizzo Meneghetti
Reinaldo A. C. Bianchi
AI4CE
47
0
0
14 Dec 2020
Multi-expert learning of adaptive legged locomotion
Multi-expert learning of adaptive legged locomotion
Chuanyu Yang
Kai Yuan
Qiuguo Zhu
Wanming Yu
Zhibin Li
178
188
0
10 Dec 2020
Transfer Learning for Efficient Iterative Safety Validation
Transfer Learning for Efficient Iterative Safety Validation
Anthony Corso
Mykel J. Kochenderfer
68
5
0
09 Dec 2020
Resolving Implicit Coordination in Multi-Agent Deep Reinforcement
  Learning with Deep Q-Networks & Game Theory
Resolving Implicit Coordination in Multi-Agent Deep Reinforcement Learning with Deep Q-Networks & Game Theory
Griffin Adams
Sarguna Padmanabhan
S. Shekhar
29
1
0
08 Dec 2020
SSCNav: Confidence-Aware Semantic Scene Completion for Visual Semantic
  Navigation
SSCNav: Confidence-Aware Semantic Scene Completion for Visual Semantic Navigation
Yiqing Liang
Boyuan Chen
Shuran Song
119
67
0
08 Dec 2020
Amortized Q-learning with Model-based Action Proposals for Autonomous
  Driving on Highways
Amortized Q-learning with Model-based Action Proposals for Autonomous Driving on Highways
Branka Mirchevska
Maria Hügle
Gabriel Kalweit
M. Werling
Joschka Boedecker
52
7
0
06 Dec 2020
A Review of Designs and Applications of Echo State Networks
A Review of Designs and Applications of Echo State Networks
Chenxi Sun
Moxian Song
linda Qiao
Hongyan Li
AAML
22
34
0
05 Dec 2020
Proximal Policy Optimization Smoothed Algorithm
Proximal Policy Optimization Smoothed Algorithm
Wangshu Zhu
A. Rosendo
18
2
0
04 Dec 2020
Model-free Neural Counterfactual Regret Minimization with Bootstrap
  Learning
Model-free Neural Counterfactual Regret Minimization with Bootstrap Learning
Weiming Liu
Bin Li
Julian Togelius
83
8
0
03 Dec 2020
Self-correcting Q-Learning
Self-correcting Q-Learning
Rong Zhu
Mattia Rigotti
41
19
0
02 Dec 2020
Real-time Active Vision for a Humanoid Soccer Robot Using Deep
  Reinforcement Learning
Real-time Active Vision for a Humanoid Soccer Robot Using Deep Reinforcement Learning
Soheil Khatibi
Meisam Teimouri
Mahdi Rezaei
16
5
0
27 Nov 2020
A survey of benchmarking frameworks for reinforcement learning
A survey of benchmarking frameworks for reinforcement learning
B. Stapelberg
K. Malan
OffRL
44
3
0
27 Nov 2020
Adaptable Automation with Modular Deep Reinforcement Learning and Policy
  Transfer
Adaptable Automation with Modular Deep Reinforcement Learning and Policy Transfer
Zohreh Raziei
Mohsen Moghaddam
77
25
0
27 Nov 2020
Unsupervised Object Keypoint Learning using Local Spatial Predictability
Unsupervised Object Keypoint Learning using Local Spatial Predictability
Anand Gopalakrishnan
Sjoerd van Steenkiste
Jürgen Schmidhuber
SSL
66
21
0
25 Nov 2020
Diluted Near-Optimal Expert Demonstrations for Guiding Dialogue
  Stochastic Policy Optimisation
Diluted Near-Optimal Expert Demonstrations for Guiding Dialogue Stochastic Policy Optimisation
Thibault Cordier
Tanguy Urvoy
L. Rojas-Barahona
F. Lefèvre
128
5
0
25 Nov 2020
C-Learning: Horizon-Aware Cumulative Accessibility Estimation
C-Learning: Horizon-Aware Cumulative Accessibility Estimation
Panteha Naderian
Gabriel Loaiza-Ganem
H. Braviner
Anthony L. Caterini
Jesse C. Cresswell
Tong Li
Animesh Garg
80
1
0
24 Nov 2020
An analysis of Reinforcement Learning applied to Coach task in IEEE Very
  Small Size Soccer
An analysis of Reinforcement Learning applied to Coach task in IEEE Very Small Size Soccer
Carlos H. C. Pena
Mateus G. Machado
M. S. Barros
José D. P. Silva
Lucas D. Maciel
Ing Ren Tsang
Edna N. S. Barros
Pedro H. M. Braga
H. Bassani
57
2
0
23 Nov 2020
Distributed Deep Reinforcement Learning: An Overview
Distributed Deep Reinforcement Learning: An Overview
Mohammad Reza Samsami
Hossein Alimadad
OffRL
43
27
0
22 Nov 2020
Revisiting Rainbow: Promoting more Insightful and Inclusive Deep
  Reinforcement Learning Research
Revisiting Rainbow: Promoting more Insightful and Inclusive Deep Reinforcement Learning Research
J. Obando-Ceron
Pablo Samuel Castro
OffRL
92
109
0
20 Nov 2020
Trajectory and Passive Beamforming Design for IRS-aided Multi-Robot NOMA
  Indoor Networks
Trajectory and Passive Beamforming Design for IRS-aided Multi-Robot NOMA Indoor Networks
Xinyu Gao
Yuanwei Liu
Xidong Mu
14
8
0
18 Nov 2020
Weighted Entropy Modification for Soft Actor-Critic
Weighted Entropy Modification for Soft Actor-Critic
Yizhou Zhao
Song-Chun Zhu
35
1
0
18 Nov 2020
Leveraging the Variance of Return Sequences for Exploration Policy
Leveraging the Variance of Return Sequences for Exploration Policy
Zerong Xi
G. Sukthankar
21
0
0
17 Nov 2020
Reinforcement Learning Control of Constrained Dynamic Systems with
  Uniformly Ultimate Boundedness Stability Guarantee
Reinforcement Learning Control of Constrained Dynamic Systems with Uniformly Ultimate Boundedness Stability Guarantee
Minghao Han
Yuan Tian
Lixian Zhang
Jun Wang
Wei Pan
68
49
0
13 Nov 2020
Steady State Analysis of Episodic Reinforcement Learning
Steady State Analysis of Episodic Reinforcement Learning
Bojun Huang
OffRL
54
23
0
12 Nov 2020
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