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A Brief Survey of Deep Reinforcement Learning

A Brief Survey of Deep Reinforcement Learning

19 August 2017
Kai Arulkumaran
M. Deisenroth
Miles Brundage
Anil Anthony Bharath
    OffRL
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Papers citing "A Brief Survey of Deep Reinforcement Learning"

50 / 596 papers shown
Title
Cascaded Compositional Residual Learning for Complex Interactive
  Behaviors
Cascaded Compositional Residual Learning for Complex Interactive Behaviors
K. N. Kumar
Irfan Essa
Sehoon Ha
31
12
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
20
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
15
31
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
14
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
24
13
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
28
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
32
63
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
44
15
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
32
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
19
2
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
18
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
AI4CE
LRM
42
52
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
34
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
49
39
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
35
14
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
43
36
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
31
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
21
2
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
CML
OffRL
35
8
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
54
5
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
28
73
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
11
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
33
5
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
27
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
28
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-Xiang Wang
OffRL
77
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
21
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
44
22
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
52
42
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
42
22
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
27
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
42
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
87
11
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
89
15
0
08 Sep 2022
Deep Anomaly Detection and Search via Reinforcement Learning
Chao Chen
Dawei Wang
Feng Mao
Zongzhang Zhang
Yang Yu
21
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
27
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
12
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
SSL
OffRL
36
11
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
31
75
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
24
2
0
08 Aug 2022
A Survey of Learning on Small Data: Generalization, Optimization, and
  Challenge
A Survey of Learning on Small Data: Generalization, Optimization, and Challenge
Xiaofeng Cao
Weixin Bu
Sheng-Jun Huang
Minling Zhang
Ivor W. Tsang
Yew-Soon Ong
James T. Kwok
35
1
0
29 Jul 2022
Driver Dojo: A Benchmark for Generalizable Reinforcement Learning for
  Autonomous Driving
Driver Dojo: A Benchmark for Generalizable Reinforcement Learning for Autonomous Driving
Sebastian Rietsch
S. Huang
G. Kontes
Axel Plinge
Christopher Mutschler
OOD
OffRL
24
5
0
23 Jul 2022
Robust Knowledge Adaptation for Dynamic Graph Neural Networks
Robust Knowledge Adaptation for Dynamic Graph Neural Networks
Han Li
Changsheng Li
Kaituo Feng
Ye Yuan
Guoren Wang
H. Zha
34
13
0
22 Jul 2022
Controllable Data Generation by Deep Learning: A Review
Controllable Data Generation by Deep Learning: A Review
Shiyu Wang
Yuanqi Du
Xiaojie Guo
Bo Pan
Zhaohui Qin
Liang Zhao
33
28
0
19 Jul 2022
A Deep Reinforcement Learning Approach for Finding Non-Exploitable
  Strategies in Two-Player Atari Games
A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari Games
Zihan Ding
DiJia Su
Qinghua Liu
Chi Jin
33
3
0
18 Jul 2022
Scaling up ML-based Black-box Planning with Partial STRIPS Models
Scaling up ML-based Black-box Planning with Partial STRIPS Models
M. Greco
Álvaro Torralba
Jorge A. Baier
Héctor Palacios
OffRL
13
0
0
10 Jul 2022
A Deep Model for Partial Multi-Label Image Classification with
  Curriculum Based Disambiguation
A Deep Model for Partial Multi-Label Image Classification with Curriculum Based Disambiguation
Feng Sun
Ming-Kun Xie
Sheng-Jun Huang
13
6
0
06 Jul 2022
Tackling Real-World Autonomous Driving using Deep Reinforcement Learning
Tackling Real-World Autonomous Driving using Deep Reinforcement Learning
Paolo Maramotti
Alessandro Paolo Capasso
Giulio Bacchiani
A. Broggi
38
10
0
05 Jul 2022
Action-modulated midbrain dopamine activity arises from distributed
  control policies
Action-modulated midbrain dopamine activity arises from distributed control policies
Jack W Lindsey
Ashok Litwin-Kumar
MLAU
21
11
0
01 Jul 2022
A Survey on Active Simultaneous Localization and Mapping: State of the
  Art and New Frontiers
A Survey on Active Simultaneous Localization and Mapping: State of the Art and New Frontiers
Julio A. Placed
Jared Strader
Henry Carrillo
Nikolay Atanasov
Vadim Indelman
Luca Carlone
J. A. Castellanos
25
177
0
01 Jul 2022
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