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:

A Survey of Zero-shot Generalisation in Deep Reinforcement Learning
Robert Kirk, Amy Zhang, Edward Grefenstette, et al.
Journal of Artificial Intelligence Research (2023) Vol. 76, pp. 201-264
Open Access | Times Cited: 71

Showing 26-50 of 71 citing articles:

Maximum diffusion reinforcement learning
Thomas A. Berrueta, Allison Pinosky, Todd Murphey
Nature Machine Intelligence (2024) Vol. 6, Iss. 5, pp. 504-514
Closed Access | Times Cited: 1

Federated reinforcement learning for robot motion planning with zero-shot generalization
Zhenyuan Yuan, Siyuan Xu, Minghui Zhu
Automatica (2024) Vol. 166, pp. 111709-111709
Open Access | Times Cited: 1

Deep Reinforcement Learning for AoI Minimization in UAV-Aided Data Collection for WSN and IoT Applications: A Survey
Oluwatosin Ahmed Amodu, Chedia Jarray, Raja Azlina Raja Mahmood, et al.
IEEE Access (2024) Vol. 12, pp. 108000-108040
Open Access | Times Cited: 1

Disentangled representations for causal cognition
Filippo Torresan, Manuel Baltieri
Physics of Life Reviews (2024) Vol. 51, pp. 343-381
Open Access | Times Cited: 1

Reactive power optimization via deep transfer reinforcement learning for efficient adaptation to multiple scenarios
C. Bi, Di Liu, Lipeng Zhu, et al.
International Journal of Electrical Power & Energy Systems (2024) Vol. 164, pp. 110376-110376
Open Access | Times Cited: 1

On Realization of Intelligent Decision Making in the Real World: A Foundation Decision Model Perspective
Ying Wen, Ziyu Wan, Ming Zhou, et al.
CAAI Artificial Intelligence Research (2023), pp. 9150026-9150026
Open Access | Times Cited: 4

Object-Oriented Option Framework for Robotics Manipulation in Clutter
Jing-Cheng Pang, Sihang Yang, Xionghui Chen, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023), pp. 1230-1237
Closed Access | Times Cited: 2

DGTRL: Deep graph transfer reinforcement learning method based on fusion of knowledge and data
Genxin Chen, Jin Qi, Yu Gao, et al.
Information Sciences (2023) Vol. 658, pp. 120019-120019
Closed Access | Times Cited: 2

Contextual reinforcement learning for supply chain management
Alex Batsis, Spyridon Samothrakis
Expert Systems with Applications (2024) Vol. 249, pp. 123541-123541
Open Access

Deep Reinforcement Learning for AoI Minimization in UAV-aided Data Collection for WSN and IoT: a Survey
Oluwatosin Ahmed Amodu, Chedia Jarray, Raja Azlina Raja Mahmood, et al.
SSRN Electronic Journal (2024)
Closed Access

MEPE: A Minimalist Ensemble Policy Evaluation Operator for Deep Reinforcement Learning
Qiang He, Xinwen Hou
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 6970-6974
Closed Access

Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System
Ruining Zhang, Haoran Han, Maolong Lv, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 15, pp. 16821-16829
Open Access

Embodied Human Activity Recognition
Sha Hu, Yu Gong, Greg Mori
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 6433-6443
Closed Access

Robotic Learning for Informative Path Planning
Marija Popović, Joshua Ott, Julius Rückin, et al.
(2024)
Closed Access

CBDMoE: Consistent-but-Diverse Mixture of Experts for Domain Generalization
Fangbin Xu, Dongyue Chen, Tong Jia, et al.
IEEE Transactions on Multimedia (2024) Vol. 26, pp. 9814-9824
Closed Access

A comprehensive review on zero-shot-learning techniques
Konstantinos Lazaros, Dimitrios E. Koumadorakis, Aristidis G. Vrahatis, et al.
Intelligent Decision Technologies (2024), pp. 1-28
Closed Access

Improving the Efficiency and Efficacy of Multi-Agent Reinforcement Learning on Complex Railway Networks with a Local-Critic Approach
Yuan Zhang, Umashankar Deekshith, Jianhong Wang, et al.
Proceedings of the International Conference on Automated Planning and Scheduling (2024) Vol. 34, pp. 698-706
Open Access

Transferable aircraft trajectory prediction with generative deep imitation learning
Theocharis Kravaris, George A. Vouros
International Journal of Data Science and Analytics (2024)
Closed Access

A comprehensive review on zero-shot-learning techniques
Konstantinos Lazaros, Dimitrios E. Koumadorakis, Aristidis G. Vrahatis, et al.
Intelligent Decision Technologies (2024) Vol. 18, Iss. 2, pp. 1001-1028
Closed Access

Shared Awareness Across Domain‐Specific Artificial Intelligence: An Alternative to Domain‐General Intelligence and Artificial Consciousness
Ophélia Deroy, Davide Bacciu, Bahador Bahrami, et al.
Advanced Intelligent Systems (2024) Vol. 6, Iss. 10
Open Access

Large-Scale Urban Traffic Management Using Zero-Shot Knowledge Transfer in Multi-Agent Reinforcement Learning for Intersection Patterns
Theodore Tranos, Christos Spatharis, Konstantinos Blekas, et al.
Robotics (2024) Vol. 13, Iss. 7, pp. 109-109
Open Access

Learning from Experience
Christopher Mutschler, Γεώργιος Κόντες, Sebastian Rietsch
(2024), pp. 49-76
Closed Access

Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization
Carolin Benjamins, Gjorgjina Cenikj, Ana Nikolikj, et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024), pp. 563-566
Open Access

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