OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Action Space Shaping in Deep Reinforcement Learning
Anssi Kanervisto, Christian Scheller, Ville Hautamäki
2021 IEEE Conference on Games (CoG) (2020), pp. 479-486
Open Access | Times Cited: 71

Showing 26-50 of 71 citing articles:

Transferable multi-objective factory layout planning using simulation-based deep reinforcement learning
Matthias Klar, Philipp Schworm, Xiangqian Wu, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 487-511
Open Access | Times Cited: 1

Guiding real-world reinforcement learning for in-contact manipulation tasks with Shared Control Templates
Abhishek Padalkar, Gabriel Quere, Antonin Raffin, et al.
Autonomous Robots (2024) Vol. 48, Iss. 4-5
Open Access | Times Cited: 1

Efficient Pump Scheduling for Large‐Scale Multiproduct Pipelines Using Deep Reinforcement Learning
K Shao, Xinmin Wang, Min Liu, et al.
International Journal of Adaptive Control and Signal Processing (2024)
Closed Access | Times Cited: 1

Deep reinforcement learning in real-time strategy games: a systematic literature review
Gabriel Caldas Barros e Sá, Charles Madeira
Applied Intelligence (2024) Vol. 55, Iss. 4
Closed Access | Times Cited: 1

Continual deep reinforcement learning with task-agnostic policy distillation
Muhammad Burhan Hafez, Kerim Erekmen
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

Modular Production Control with Multi-Agent Deep Q-Learning
Dennis Gankin, Sebastian Mayer, Jonas Zinn, et al.
(2021), pp. 1-8
Closed Access | Times Cited: 8

Keeping Humans in the Loop: Teaching via Feedback in Continuous Action Space Environments
Isaac Sheidlower, Allison Moore, Elaine Schaertl Short
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2022), pp. 863-870
Closed Access | Times Cited: 6

Reinforcement Learning-Based Resource Allocation in Fog Networks
Hoa Tran‐Dang, Dong‐Seong Kim
(2023), pp. 157-189
Closed Access | Times Cited: 3

Reinforcement learning with multimodal advantage function for accurate advantage estimation in robot learning
Jong-Hyeok Park, Soohee Han
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107019-107019
Closed Access | Times Cited: 3

Efficient Training of Foosball Agents Using Multi-agent Competition
Adriatik Gashi, Elke Hergenröther, Gunter Grieser
Lecture notes in networks and systems (2023), pp. 472-492
Closed Access | Times Cited: 3

Reinforced Contrastive Graph Neural Networks (RCGNN) for Anomaly Detection
Zenan Sun, Jingyi Su, Donghyun Jeon, et al.
(2022), pp. 65-72
Closed Access | Times Cited: 5

Generalising Discrete Action Spaces with Conditional Action Trees
Christopher Bamford, Alvaro Ovalle
2021 IEEE Conference on Games (CoG) (2021), pp. 1-8
Open Access | Times Cited: 6

Distributed Deep Reinforcement Learning Resource Allocation Scheme For Industry 4.0 Device-To-Device Scenarios
Jesús Burgueño, Ramoni Adeogun, Rasmus Liborius Bruun, et al.
2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall) (2021), pp. 1-7
Open Access | Times Cited: 6

DRSIR: A Deep Reinforcement Learning Approach for Routing in Software-Defined Networking
Daniela Casas Velasco, Oscar Maurício Caicedo Rendón, Nelson L. S. da Fonseca
(2021)
Open Access | Times Cited: 6

DQN-based Joint Adaptive Beamwidth Control and Beam Tracking for mmWave Communications
Hyunwoo Park, Jong Hyun Jeon, Hyeonjin Chung, et al.
(2023), pp. 473-477
Closed Access | Times Cited: 2

STRP-DBSCAN: A Parallel DBSCAN Algorithm Based on Spatial-Temporal Random Partitioning for Clustering Trajectory Data
Xiaoya An, Ziming Wang, Ding Wang, et al.
Applied Sciences (2023) Vol. 13, Iss. 20, pp. 11122-11122
Open Access | Times Cited: 2

Joint power allocation and blocklength assignment for reliability optimization in CA-enabled HetNets
Leyou Yang, Jie Jia, Jian Chen, et al.
Peer-to-Peer Networking and Applications (2023) Vol. 17, Iss. 1, pp. 358-372
Closed Access | Times Cited: 2

Adaptive Container Scheduling in Cloud Data Centers: A Deep Reinforcement Learning Approach
Tania Lorido-Botrán, Muhammad Khurram Bhatti
Lecture notes in networks and systems (2021), pp. 572-581
Closed Access | Times Cited: 5

Online reliability optimization for URLLC in HetNets: a DQN approach
Leyou Yang, Jie Jia, Jian Chen, et al.
Neural Computing and Applications (2020) Vol. 33, Iss. 12, pp. 7271-7290
Closed Access | Times Cited: 3

A Holistic Framework for Factory Planning Using Reinforcement Learning
Matthias Klar, Jacqueline Gomes Mertes, Moritz Glatt, et al.
Springer eBooks (2023), pp. 129-148
Closed Access | Times Cited: 1

Q-Learning for Sum-Throughput Optimization in Wireless Visible-Light UAV Networks
Yuwei Long, Nan Cen
IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (2023), pp. 1-6
Closed Access | Times Cited: 1

Mirage: cyber deception against autonomous cyber attacks in emulation and simulation
Michael Kouremetis, Dean Lawrence, Ron Alford, et al.
Annals of Telecommunications (2024) Vol. 79, Iss. 11-12, pp. 803-817
Open Access

Intelligent Predetermination of Generator Tripping Scheme: Knowledge Fusion-based Deep Reinforcement Learning Framework
Lingfang Zeng, Hu Zhang, Zhengyong Li, et al.
CSEE Journal of Power and Energy Systems (2024)
Open Access

A Novel Deep Reinforcement Learning Approach for Real-Time Gate Assignment
Haonan Li, Xu Wu, Marta Ribeiro, et al.
(2024)
Closed Access

Reconfigurable RAN Slicing for Ultra-Dense LEO Satellite Networks via DRL
Yuru Liu, Ting Ma, Xiaohan Qin, et al.
IEEE Transactions on Cognitive Communications and Networking (2024) Vol. 11, Iss. 1, pp. 566-580
Closed Access

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