ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1708.05866
  4. Cited By
A Brief Survey of Deep Reinforcement Learning
v1v2 (latest)

A Brief Survey of Deep Reinforcement Learning

19 August 2017
Kai Arulkumaran
M. Deisenroth
Miles Brundage
Anil Anthony Bharath
    OffRL
ArXiv (abs)PDFHTML

Papers citing "A Brief Survey of Deep Reinforcement Learning"

50 / 604 papers shown
Title
RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the
  BERT Model Boosted by an Improved ABC Algorithm
RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC Algorithm
Hamid Gharagozlou
J. Mohammadzadeh
A. Bastanfard
S. S. Ghidary
48
35
0
07 Jan 2023
DRL-GAN: A Hybrid Approach for Binary and Multiclass Network Intrusion
  Detection
DRL-GAN: A Hybrid Approach for Binary and Multiclass Network Intrusion Detection
Caroline Strickland
Chandrika Saha
Muhammad Zakar
Sareh Nejad
Noshin Tasnim
D. Lizotte
Anwar Haque
64
10
0
05 Jan 2023
Deep Spectral Q-learning with Application to Mobile Health
Deep Spectral Q-learning with Application to Mobile Health
Yuhe Gao
C. Shi
R. Song
75
0
0
03 Jan 2023
New Challenges in Reinforcement Learning: A Survey of Security and
  Privacy
New Challenges in Reinforcement Learning: A Survey of Security and Privacy
Yunjiao Lei
Dayong Ye
Sheng Shen
Yulei Sui
Tianqing Zhu
Wanlei Zhou
133
20
0
31 Dec 2022
A Mapping of Assurance Techniques for Learning Enabled Autonomous
  Systems to the Systems Engineering Lifecycle
A Mapping of Assurance Techniques for Learning Enabled Autonomous Systems to the Systems Engineering Lifecycle
Christian Ellis
Maggie B. Wigness
L. Fiondella
67
1
0
30 Dec 2022
Function Approximation for Solving Stackelberg Equilibrium in Large
  Perfect Information Games
Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games
Chun Kai Ling
J. Zico Kolter
Fei Fang
60
0
0
29 Dec 2022
Discovering Efficient Periodic Behaviours in Mechanical Systems via
  Neural Approximators
Discovering Efficient Periodic Behaviours in Mechanical Systems via Neural Approximators
Yannik P. Wotte
Sven Dummer
N. Botteghi
C. Brune
Stefano Stramigioli
Federico Califano
78
6
0
29 Dec 2022
Investigation of reinforcement learning for shape optimization of
  profile extrusion dies
Investigation of reinforcement learning for shape optimization of profile extrusion dies
C. Fricke
D. Wolff
Marco Kemmerling
S. Elgeti
OffRL
16
5
0
23 Dec 2022
Robust Path Selection in Software-defined WANs using Deep Reinforcement
  Learning
Robust Path Selection in Software-defined WANs using Deep Reinforcement Learning
Shahrooz Pouryousef
Lixin Gao
Don Towsley
42
1
0
21 Dec 2022
A Memetic Algorithm with Reinforcement Learning for Sociotechnical
  Production Scheduling
A Memetic Algorithm with Reinforcement Learning for Sociotechnical Production Scheduling
Felix Grumbach
Nour Eldin Alaa Badr
Pascal Reusch
Sebastian Trojahn
18
8
0
21 Dec 2022
Cascaded Compositional Residual Learning for Complex Interactive
  Behaviors
Cascaded Compositional Residual Learning for Complex Interactive Behaviors
K. N. Kumar
Irfan Essa
Sehoon Ha
82
14
0
17 Dec 2022
Reinforcement Learning for Agile Active Target Sensing with a UAV
Reinforcement Learning for Agile Active Target Sensing with a UAV
Harshi Goel
Laura Jarin-Lipschitz
S. Agarwal
Sandeep Manjanna
Vijay Kumar
54
1
0
16 Dec 2022
Optimal Planning of Hybrid Energy Storage Systems using Curtailed
  Renewable Energy through Deep Reinforcement Learning
Optimal Planning of Hybrid Energy Storage Systems using Curtailed Renewable Energy through Deep Reinforcement Learning
Dongju Kang
Doeun Kang
Sumin Hwangbo
Haider Niaz
Won Bo Lee
J. J. Liu
Jonggeol Na
34
32
0
12 Dec 2022
Design and Planning of Flexible Mobile Micro-Grids Using Deep
  Reinforcement Learning
Design and Planning of Flexible Mobile Micro-Grids Using Deep Reinforcement Learning
Cesare Caputo
Michel-Alexandre Cardin
Pudong Ge
Fei Teng
A. Korre
Ehecatl Antonio del Rio Chanona
39
18
0
08 Dec 2022
DACOM: Learning Delay-Aware Communication for Multi-Agent Reinforcement
  Learning
DACOM: Learning Delay-Aware Communication for Multi-Agent Reinforcement Learning
Tingting Yuan
Hwei-Ming Chung
Jie Yuan
Xiaoming Fu
84
14
0
03 Dec 2022
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player
  Multi-Agent Learning Toolbox
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox
Qiyue Yin
Tongtong Yu
S. Shen
Jun Yang
Meijing Zhao
Kaiqi Huang
Bin Liang
Liangsheng Wang
OffRL
74
13
0
01 Dec 2022
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics
Andreas Döpp
C. Eberle
S. Howard
F. Irshad
Jinpu Lin
M. Streeter
AI4CE
83
72
0
30 Nov 2022
Edge Video Analytics: A Survey on Applications, Systems and Enabling
  Techniques
Edge Video Analytics: A Survey on Applications, Systems and Enabling Techniques
Renjie Xu
S. Razavi
Rong Zheng
114
21
0
28 Nov 2022
A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and
  Open Resource
A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and Open Resource
Yue Liu
Jun Xia
Sihang Zhou
Xihong Yang
K. Liang
Chenchen Fan
Zhuang Yan
Stan Z. Li
Xinwang Liu
Kunlun He
OOD
111
19
0
23 Nov 2022
Proactive Resilient Transmission and Scheduling Mechanisms for mmWave
  Networks
Proactive Resilient Transmission and Scheduling Mechanisms for mmWave Networks
M. Dogan
Martina Cardone
Christina Fragouli
28
3
0
17 Nov 2022
Deep Reinforcement Learning with Vector Quantized Encoding
Deep Reinforcement Learning with Vector Quantized Encoding
Liang Zhang
Justin Lieffers
A. Pyarelal
OffRL
58
2
0
12 Nov 2022
A Survey on Quantum Reinforcement Learning
A Survey on Quantum Reinforcement Learning
Nico Meyer
Christian Ufrecht
Maniraman Periyasamy
Daniel D. Scherer
Axel Plinge
Christopher Mutschler
AI4CELRM
108
62
0
07 Nov 2022
Mixline: A Hybrid Reinforcement Learning Framework for Long-horizon
  Bimanual Coffee Stirring Task
Mixline: A Hybrid Reinforcement Learning Framework for Long-horizon Bimanual Coffee Stirring Task
Zheng Sun
Zhiqi Wang
Junjia Liu
Miao Li
Fei Chen
58
4
0
04 Nov 2022
Many-Objective Reinforcement Learning for Online Testing of DNN-Enabled
  Systems
Many-Objective Reinforcement Learning for Online Testing of DNN-Enabled Systems
Fitash Ul Haq
Donghwan Shin
Lionel C. Briand
OffRL
88
41
0
27 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
81
16
0
26 Oct 2022
Machine and Deep Learning for IoT Security and Privacy: Applications,
  Challenges, and Future Directions
Machine and Deep Learning for IoT Security and Privacy: Applications, Challenges, and Future Directions
Subrato Bharati
Prajoy Podder
90
39
0
24 Oct 2022
Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain
  Domains
Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains
Manon Flageat
Félix Chalumeau
Antoine Cully
82
26
0
24 Oct 2022
LQGNet: Hybrid Model-Based and Data-Driven Linear Quadratic Stochastic
  Control
LQGNet: Hybrid Model-Based and Data-Driven Linear Quadratic Stochastic Control
Solomon Goldgraber Casspi
O. Husser
Guy Revach
Nir Shlezinger
87
3
0
23 Oct 2022
Redefining Counterfactual Explanations for Reinforcement Learning:
  Overview, Challenges and Opportunities
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities
Jasmina Gajcin
Ivana Dusparic
CMLOffRL
113
11
0
21 Oct 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A
  Comprehensive Survey
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey
Huiyun Cao
Wenlong Zou
Yinkun Wang
Ting Song
Mengjun Liu
AAML
98
6
0
19 Oct 2022
Survey of Deep Learning for Autonomous Surface Vehicles in the Marine
  Environment
Survey of Deep Learning for Autonomous Surface Vehicles in the Marine Environment
Yuanyuan Qiao
Jiaxin Yin
Wei Wang
Fábio Duarte
Jie Yang
C. Ratti
124
81
0
16 Oct 2022
Decentralized Coverage Path Planning with Reinforcement Learning and
  Dual Guidance
Decentralized Coverage Path Planning with Reinforcement Learning and Dual Guidance
Yongkai Liu
Jiawei Hu
Wei Dong
18
2
0
14 Oct 2022
A Multi-Agent Approach for Adaptive Finger Cooperation in Learning-based
  In-Hand Manipulation
A Multi-Agent Approach for Adaptive Finger Cooperation in Learning-based In-Hand Manipulation
Lingfeng Tao
Jiucai Zhang
Michael Bowman
Xiaoli Zhang
67
6
0
11 Oct 2022
Movement Analytics: Current Status, Application to Manufacturing, and
  Future Prospects from an AI Perspective
Movement Analytics: Current Status, Application to Manufacturing, and Future Prospects from an AI Perspective
Peter Baumgartner
Daniel V. Smith
Mashud Rana
Reena Kapoor
Elena Tartaglia
A. Schutt
Ashfaqur Rahman
John Taylor
S. Dunstall
71
4
0
04 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
56
0
0
03 Oct 2022
Offline Reinforcement Learning with Differentiable Function
  Approximation is Provably Efficient
Offline Reinforcement Learning with Differentiable Function Approximation is Provably Efficient
Ming Yin
Mengdi Wang
Yu Wang
OffRL
141
12
0
03 Oct 2022
Online Weighted Q-Ensembles for Reduced Hyperparameter Tuning in
  Reinforcement Learning
Online Weighted Q-Ensembles for Reduced Hyperparameter Tuning in Reinforcement Learning
R. G. Oliveira
W. Caarls
OffRL
53
0
0
29 Sep 2022
Deep Reinforcement Learning for Adaptive Mesh Refinement
Deep Reinforcement Learning for Adaptive Mesh Refinement
C. Foucart
A. Charous
Pierre FJ Lermusiaux
AI4CE
81
23
0
25 Sep 2022
Learning Dexterous Manipulation from Exemplar Object Trajectories and
  Pre-Grasps
Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps
Sudeep Dasari
Abhi Gupta
Vikash Kumar
111
43
0
22 Sep 2022
RAMP-Net: A Robust Adaptive MPC for Quadrotors via Physics-informed
  Neural Network
RAMP-Net: A Robust Adaptive MPC for Quadrotors via Physics-informed Neural Network
Sourav Sanyal
Kaushik Roy
PINN
109
23
0
19 Sep 2022
Evolutionary Deep Reinforcement Learning Using Elite Buffer: A Novel
  Approach Towards DRL Combined with EA in Continuous Control Tasks
Evolutionary Deep Reinforcement Learning Using Elite Buffer: A Novel Approach Towards DRL Combined with EA in Continuous Control Tasks
Marzie Esmaeeli
H. Malek
66
2
0
18 Sep 2022
Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and
  Learning Mean-Field Control
Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and Learning Mean-Field Control
Kai Cui
Mengguang Li
Christian Fabian
Heinz Koeppl
AI4CE
110
5
0
15 Sep 2022
A Learning-Based Trajectory Planning of Multiple UAVs for AoI
  Minimization in IoT Networks
A Learning-Based Trajectory Planning of Multiple UAVs for AoI Minimization in IoT Networks
Eslam Eldeeb
D. Pérez
J. Sant’Ana
M. Shehab
N. H. Mahmood
Hirley Alves
Matti Latva-aho
114
12
0
13 Sep 2022
A Survey on Large-Population Systems and Scalable Multi-Agent
  Reinforcement Learning
A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning
Kai Cui
Anam Tahir
Gizem Ekinci
Ahmed Elshamanhory
Yannick Eich
Mengguang Li
Heinz Koeppl
AI4CE
166
15
0
08 Sep 2022
Deep Anomaly Detection and Search via Reinforcement Learning
Chao Chen
Dawei Wang
Feng Mao
Zongzhang Zhang
Yang Yu
50
0
0
31 Aug 2022
A further exploration of deep Multi-Agent Reinforcement Learning with
  Hybrid Action Space
A further exploration of deep Multi-Agent Reinforcement Learning with Hybrid Action Space
Hongzhi Hua
Guixuan Wen
Kaigui Wu
34
1
0
30 Aug 2022
Deep Kernel Learning of Dynamical Models from High-Dimensional Noisy
  Data
Deep Kernel Learning of Dynamical Models from High-Dimensional Noisy Data
N. Botteghi
Mengwu Guo
C. Brune
109
11
0
27 Aug 2022
Unsupervised Representation Learning in Deep Reinforcement Learning: A
  Review
Unsupervised Representation Learning in Deep Reinforcement Learning: A Review
N. Botteghi
M. Poel
C. Brune
SSLOffRL
101
13
0
27 Aug 2022
Intelligent problem-solving as integrated hierarchical reinforcement
  learning
Intelligent problem-solving as integrated hierarchical reinforcement learning
Manfred Eppe
Christian Gumbsch
Matthias Kerzel
Phuong D. H. Nguyen
Martin Volker Butz
S. Wermter
94
78
0
18 Aug 2022
Continual Reinforcement Learning with TELLA
Continual Reinforcement Learning with TELLA
Neil Fendley
Cash Costello
Eric Q. Nguyen
Gino Perrotta
Corey Lowman
CLL
58
2
0
08 Aug 2022
Previous
123...567...111213
Next