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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:

Transferring policy of deep reinforcement learning from simulation to reality for robotics
Hao Ju, Rongshun Juan, Randy Gómez, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 12, pp. 1077-1087
Closed Access | Times Cited: 46

Showing 26-50 of 46 citing articles:

Integrated Learning-based Framework for Autonomous Quadrotor UAV Landing on a Collaborative Moving UGV
Chang Wang, Jiaqing Wang, Zhaowei Ma, et al.
IEEE Transactions on Vehicular Technology (2024) Vol. 73, Iss. 11, pp. 16092-16107
Closed Access | Times Cited: 1
Automated design and optimization of distributed filter circuits using reinforcement learning
Peng Gao, Tao Yu, Fei Wang, et al.
Journal of Computational Design and Engineering (2024) Vol. 11, Iss. 5, pp. 60-76
Open Access | Times Cited: 1
Architecture for Digital Twin-Based Reinforcement Learning Optimization of Cyber-Physical Systems
Elias Modrakowski, Niklas Braun, Mehrnoush Hajnorouzi, et al.
Lecture notes in computer science (2024), pp. 257-271
Closed Access | Times Cited: 1
Adaptive Residual Useful Life Prediction for the Insulated-Gate Bipolar Transistors with Pulse-Width Modulation Based on Multiple Modes and Transfer Learning
Wujin Deng, Yan Gao, Wanqing Song, et al.
Fractal and Fractional (2023) Vol. 7, Iss. 8, pp. 614-614
Open Access | Times Cited: 3
AutoVRL: A High Fidelity Autonomous Ground Vehicle Simulator for Sim-to-Real Deep Reinforcement Learning
Shathushan Sivashangaran, Apoorva Khairnar, Azim Eskandarian
IFAC-PapersOnLine (2023) Vol. 56, Iss. 3, pp. 475-480
Open Access | Times Cited: 2
Deep Transfer Learning for Efficient and Accurate Prediction of Composite Pressure Vessel Behaviors
Hyunsoo Hong, Won-Ki Kim, Samuel Kim, et al.
(2024)
Closed Access
Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks
Buqing Nie, Jingtian Ji, Yangqing Fu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 13, pp. 14457-14465
Open Access
UAV control in autonomous object-goal navigation: a systematic literature review
Angel Ayala, Letícia Portela, Fernando Buarque, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 5
Open Access
Using Reinforcement Learning to Develop a Novel Gait for a Bio-robotic California Sea Lion
A. Drago, Shraman Kadapa, Nicholas Marcouiller, et al.
(2024)
Open Access
Sustainable Manufacturing Through Digital Twin and Reinforcement Learning
Di Wang
Advances in chemical and materials engineering book series (2024), pp. 357-375
Closed Access
Assisting Group Discussions Using Desktop Robot Haru
Fei Tang, Chuanxiong Zheng, Hongqi Yu, et al.
(2024), pp. 3326-3332
Closed Access
On the Limits of Digital Twins for Safe Deep Reinforcement Learning in Robotic Networks
Mohamed Iheb Balghouthi, Federico Chiariotti, Luca Bedogni
IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (2024), pp. 1-6
Closed Access
Using Reinforcement Learning to Develop a Novel Gait for a Bio-Robotic California Sea Lion
A. Drago, Shraman Kadapa, Nicholas Marcouiller, et al.
Biomimetics (2024) Vol. 9, Iss. 9, pp. 522-522
Open Access
Optimizing bucket-filling strategies for wheel loaders inside a dream environment
Daniel Eriksson, Reza Ghabcheloo, Marcus Geimer
Automation in Construction (2024) Vol. 168, pp. 105804-105804
Open Access
Knowledge Graph Based on Reinforcement Learning: A Survey and New Perspectives
Qiang Huo, Hong‐Ru Fu, Caixia Song, et al.
IEEE Access (2024) Vol. 12, pp. 161897-161924
Open Access
DeepRIoT: Continuous Integration and Deployment of Robotic-IoT Applications
Meixun Qu, Jie He, Zlatan Tucakovic, et al.
(2024), pp. 1-6
Closed Access
Autonomous Robot Goal Seeking and Collision Avoidance in the Physical World: An Automated Learning and Evaluation Framework Based on the PPO Method
Wen-Chung Cheng, Zhen Ni, X. Zhong, et al.
Applied Sciences (2024) Vol. 14, Iss. 23, pp. 11020-11020
Open Access
Visual–tactile learning of robotic cable-in-duct installation skills
Boyi Duan, Kun Qian, Aohua Liu, et al.
Automation in Construction (2024) Vol. 170, pp. 105905-105905
Closed Access
Deep reinforcement learning from human preferences for ROV path tracking
Songjie Niu, Xingwei Pan, Jun Wang, et al.
Ocean Engineering (2024) Vol. 317, pp. 120036-120036
Closed Access
Don’t overlook any detail: Data-efficient reinforcement learning with visual attention
Jialin Ma, Ce Li, Zhiqiang Feng, et al.
Knowledge-Based Systems (2024), pp. 112869-112869
Closed Access
LK-TDDQN:A Lane Keeping Transfer Double Deep Q Network Framework for Autonomous Vehicles
Xiting Peng, Jinyan Liang, Xiaoyu Zhang, et al.
GLOBECOM 2022 - 2022 IEEE Global Communications Conference (2023), pp. 3518-3523
Closed Access | Times Cited: 1
Enabling Reinforcement Learning for Flexible Energy Systems Through Transfer Learning on a Digital Twin Platform
Carlotta Tubeuf, Felix Birkelbach, Anton Maly, et al.
34th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2021) (2023), pp. 3218-3228
Open Access
Sim-to-real transfer of co-optimized soft robot crawlers
Charles Schaff, Audrey Sedal, Shiyao Ni, et al.
Autonomous Robots (2023) Vol. 47, Iss. 8, pp. 1195-1211
Closed Access
MEWA: A Benchmark For Meta-Learning in Collaborative Working Agents
Radu Stoican, Angelo Cangelosi, Thomas H. Weisswange
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2023), pp. 1435-1442
Closed Access
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