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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:

Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement Learning
Malte Schilling, Andrew Melnik, Frank W. Ohl, et al.
Neural Networks (2021) Vol. 144, pp. 699-725
Open Access | Times Cited: 23

Showing 23 citing articles:

Hierarchical Free Gait Motion Planning for Hexapod Robots Using Deep Reinforcement Learning
Xinpeng Wang, Huiqiao Fu, Guizhou Deng, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 11, pp. 10901-10912
Closed Access | Times Cited: 13
Using deep reinforcement learning to investigate stretch feedback during swimming of the lamprey
Oliver Hausdörfer, Astha Gupta, Auke Jan Ijspeert, et al.
Bioinspiration & Biomimetics (2025) Vol. 20, Iss. 2, pp. 026024-026024
Closed Access
Proactive Body Joint Adaptation for Energy-Efficient Locomotion of Bio-Inspired Multi-Segmented Robots
Jettanan Homchanthanakul, Poramate Manoonpong
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 2, pp. 904-911
Closed Access | Times Cited: 8
Predictive hierarchical reinforcement learning for path-efficient mapless navigation with moving target
Hanxiao Li, Biao Luo, Wei Song, et al.
Neural Networks (2023) Vol. 165, pp. 677-688
Closed Access | Times Cited: 8
Having multiple selves helps learning agents explore and adapt in complex changing worlds
Zack Dulberg, Rachit Dubey, Isabel M. Berwian, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 28
Open Access | Times Cited: 8
Coordinating multi-agent reinforcement learning via dual collaborative constraints
Chao Li, Shaokang Dong, Shangdong Yang, et al.
Neural Networks (2024) Vol. 182, pp. 106858-106858
Closed Access | Times Cited: 2
Unscented Trainable Kalman Filter Based on Deep Learning Method Considering Incomplete Information
Yanjie Yu, Qiang Li, Houyi Zhang
IEEE Access (2023) Vol. 11, pp. 50700-50709
Open Access | Times Cited: 6
neuroWalknet, a controller for hexapod walking allowing for context dependent behavior
Malte Schilling, Holk Cruse
PLoS Computational Biology (2023) Vol. 19, Iss. 1, pp. e1010136-e1010136
Open Access | Times Cited: 5
DeepCPG Policies for Robot Locomotion
Aditya M. Deshpande, Eric Hurd, Ali A. Minai, et al.
IEEE Transactions on Cognitive and Developmental Systems (2023) Vol. 15, Iss. 4, pp. 2108-2121
Open Access | Times Cited: 5
Zero-Shot Imitation Policy Via Search In Demonstration Dataset
Federico Malato, Florian Leopold, Andrew Melnik, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 7590-7594
Open Access | Times Cited: 1
Decentralized Counterfactual Value with Threat Detection for Multi-Agent Reinforcement Learning in mixed cooperative and competitive environments
Shaokang Dong, Chao Li, Shangdong Yang, et al.
Expert Systems with Applications (2024) Vol. 257, pp. 125116-125116
Closed Access | Times Cited: 1
Modularity in Nervous Systems—a Key to Efficient Adaptivity for Deep Reinforcement Learning
Malte Schilling, Barbara Hammer, Frank W. Ohl, et al.
Cognitive Computation (2023) Vol. 16, Iss. 5, pp. 2358-2373
Open Access | Times Cited: 3
Hierarchical Decentralized Deep Reinforcement Learning Architecture for a Simulated Four-Legged Agent
Wadhah Zai El Amri, Luca Hermes, Malte Schilling
Lecture notes in computer science (2023), pp. 265-280
Closed Access | Times Cited: 2
Neural Networks special issue on Artificial Intelligence and Brain Science
Kenji Doya, Karl Friston, Masashi Sugiyama, et al.
Neural Networks (2022) Vol. 155, pp. 328-329
Open Access | Times Cited: 4
Improved dynamic state estimation of power system using unscented Kalman filter with more accurate prediction model
Yanjie Yu, Qiang Li, Chuchu Chen, et al.
Energy Reports (2022) Vol. 8, pp. 364-376
Open Access | Times Cited: 4
Neural dynamics of robust legged robots
Eugene R. Rush, Christoffer Heckman, Kaushik Jayaram, et al.
Frontiers in Robotics and AI (2024) Vol. 11
Open Access
Data-Driven Control for Nonlinear Multi-Agent Systems Using Reinforcement Learning
Renzhi Liu, Hongru Ren, Hui Ma, et al.
2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) (2024), pp. 69-74
Closed Access
COMPOSER: Scalable and Robust Modular Policies for Snake Robots
Yuyou Zhang, Ya-Ru Niu, Xingyu Liu, et al.
(2024), pp. 10800-10806
Open Access
Linking meta-learning to meta-structure
Malte Schilling, Helge Ritter, Frank W. Ohl
Behavioral and Brain Sciences (2024) Vol. 47
Closed Access
Escaping local minima in deep reinforcement learning for video summarization
Panagiota Alexoudi, Ioannis Mademlis, Ioannis Pitas
(2023)
Open Access | Times Cited: 1
Adaptation of a Decentralized Controller to Curve Walking in a Hexapod Robot
Janneke Simmering, Luca Hermes, Axel Schneider, et al.
Lecture notes in networks and systems (2022), pp. 264-275
Closed Access | Times Cited: 2
neuroWalknet, a controller for hexapod walking allowing for context dependent behavior
Malte Schilling, Holk Cruse
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1
Having “multiple selves” helps learning agents explore and adapt in complex changing worlds
Zack Dulberg, Rachit Dubey, Isabel M. Berwian, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
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