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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:

How to train your robot with deep reinforcement learning: lessons we have learned
Julian Ibarz, Jie Tan, Chelsea Finn, et al.
The International Journal of Robotics Research (2021) Vol. 40, Iss. 4-5, pp. 698-721
Open Access | Times Cited: 382

Showing 26-50 of 382 citing articles:

SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning
Jiaqi Xu, Bin Li, Bo Lu, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2021)
Open Access | Times Cited: 44
To imitate or not to imitate: Boosting reinforcement learning-based construction robotic control for long-horizon tasks using virtual demonstrations
Lei Huang, Zihan Zhu, Zhengbo Zou
Automation in Construction (2022) Vol. 146, pp. 104691-104691
Closed Access | Times Cited: 32
High-speed quadrupedal locomotion by imitation-relaxation reinforcement learning
Yongbin Jin, Xianwei Liu, Yecheng Shao, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 12, pp. 1198-1208
Closed Access | Times Cited: 32
Synthesizing the optimal gait of a quadruped robot with soft actuators using deep reinforcement learning
Qinglei Ji, Shuo Fu, Kaige Tan, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 78, pp. 102382-102382
Open Access | Times Cited: 31
Human-in-the-Loop Embodied Intelligence With Interactive Simulation Environment for Surgical Robot Learning
Yonghao Long, Wei Wang, Tao Huang, et al.
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 8, pp. 4441-4448
Open Access | Times Cited: 22
The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications
Serena Booth, W. Bradley Knox, Julie Shah, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 5, pp. 5920-5929
Open Access | Times Cited: 20
Reinforcement-learning-based actuator selection method for active flow control
Romain Paris, Samir Beneddine, Julien Dandois
Journal of Fluid Mechanics (2023) Vol. 955
Open Access | Times Cited: 18
Resolving the associative learning paradox by category learning in pigeons
Edward A. Wasserman, Andrew G. Kain, Ellen O'Donoghue
Current Biology (2023) Vol. 33, Iss. 6, pp. 1112-1116.e2
Closed Access | Times Cited: 17
Continual Semantic Segmentation with Automatic Memory Sample Selection
Lanyun Zhu, Tianrun Chen, Jianxiong Yin, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 3082-3092
Open Access | Times Cited: 17
Industrial process fault diagnosis based on feature enhanced meta-learning toward domain generalization scenarios
Yu Gao, Jin Qi, Ying Sun, et al.
Knowledge-Based Systems (2024) Vol. 289, pp. 111506-111506
Closed Access | Times Cited: 6
Application of artificial intelligence in cognitive load analysis using functional near-infrared spectroscopy: A systematic review
Mehshan Ahmed Khan, Houshyar Asadi, Zhang Li, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123717-123717
Open Access | Times Cited: 6
Intelligent routing method based on Dueling DQN reinforcement learning and network traffic state prediction in SDN
Linqiang Huang, Miao Ye, Xingsi Xue, et al.
Wireless Networks (2022) Vol. 30, Iss. 5, pp. 4507-4525
Closed Access | Times Cited: 25
Real2Sim2Real: Self-Supervised Learning of Physical Single-Step Dynamic Actions for Planar Robot Casting
Vincent Lim, Huang Huang, Lawrence Yunliang Chen, et al.
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 8282-8289
Closed Access | Times Cited: 24
Smart Magnetic Microrobots Learn to Swim with Deep Reinforcement Learning
Michael R. Behrens, Warren C. Ruder
Advanced Intelligent Systems (2022) Vol. 4, Iss. 10
Open Access | Times Cited: 23
A review on interaction control for contact robots through intent detection
Yanan Li, Aran Sena, Ziwei Wang, et al.
Progress in Biomedical Engineering (2022) Vol. 4, Iss. 3, pp. 032004-032004
Open Access | Times Cited: 23
Vision-Based Robotic Object Grasping—A Deep Reinforcement Learning Approach
Yaling Chen, Yan-Rou Cai, Ming-Yang Cheng
Machines (2023) Vol. 11, Iss. 2, pp. 275-275
Open Access | Times Cited: 16
Autonomous Navigation for Robot-Assisted Intraluminal and Endovascular Procedures: A Systematic Review
Ameya Pore, Zhen Li, Diego Dall’Alba, et al.
IEEE Transactions on Robotics (2023) Vol. 39, Iss. 4, pp. 2529-2548
Open Access | Times Cited: 16
Inverse-Reinforcement-Learning-Based Robotic Ultrasound Active Compliance Control in Uncertain Environments
Guochen Ning, Hanying Liang, Xinran Zhang, et al.
IEEE Transactions on Industrial Electronics (2023) Vol. 71, Iss. 2, pp. 1686-1696
Closed Access | Times Cited: 14
Bayesian controller fusion: Leveraging control priors in deep reinforcement learning for robotics
Krishan Rana, Vibhavari Dasagi, Jesse Haviland, et al.
The International Journal of Robotics Research (2023) Vol. 42, Iss. 3, pp. 123-146
Open Access | Times Cited: 13
Learn From Safe Experience: Safe Reinforcement Learning for Task Automation of Surgical Robot
Ke Fan, Ziyang Chen, Giancarlo Ferrigno, et al.
IEEE Transactions on Artificial Intelligence (2024) Vol. 5, Iss. 7, pp. 3374-3383
Closed Access | Times Cited: 5
Transition to intelligent fleet management systems in open pit mines: A critical review on application of reinforcement-learning-based systems
Arman Hazrathosseini, Ali Moradi Afrapoli
Mining Technology Transactions of the Institutions of Mining and Metallurgy (2024) Vol. 133, Iss. 1, pp. 50-73
Open Access | Times Cited: 5
Digital Twin and Deep Reinforcement Learning-Driven Robotic Automation System for Confined Workspaces: A Nozzle Dam Replacement Case Study in Nuclear Power Plants
Su-Young Park, Cheonghwa Lee, Suhwan Jeong, et al.
International Journal of Precision Engineering and Manufacturing-Green Technology (2024) Vol. 11, Iss. 3, pp. 939-962
Open Access | Times Cited: 5
Design of an Assisted Driving System for Obstacle Avoidance Based on Reinforcement Learning Applied to Electrified Wheelchairs
Federico Pacini, Pierpaolo Dini, Luca Fanucci
Electronics (2024) Vol. 13, Iss. 8, pp. 1507-1507
Open Access | Times Cited: 5
An adaptable and personalized framework for top-N course recommendations in online learning
Samina Amin, M. Irfan Uddin, Ala Abdulsalam Alarood, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Sim-to-real transfer of active suspension control using deep reinforcement learning
Viktor Wiberg, Erik Wallin, Arvid Fälldin, et al.
Robotics and Autonomous Systems (2024) Vol. 179, pp. 104731-104731
Open Access | Times Cited: 5

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