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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:

Path integral guided policy search
Yevgen Chebotar, Mrinal Kalakrishnan, Ali Abdullah Yahya, et al.
(2017), pp. 3381-3388
Open Access | Times Cited: 136

Showing 1-25 of 136 citing articles:

Electronic skins and machine learning for intelligent soft robots
Benjamin Shih, Dylan Shah, Jinxing Li, et al.
Science Robotics (2020) Vol. 5, Iss. 41
Open Access | Times Cited: 517
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: 380
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks
Michelle A. Lee, Yuke Zhu, Krishnan Srinivasan, et al.
2022 International Conference on Robotics and Automation (ICRA) (2019), pp. 8943-8950
Open Access | Times Cited: 308
Robots in machining
Alexander Verl, Anna Valente, Shreyes N. Melkote, et al.
CIRP Annals (2019) Vol. 68, Iss. 2, pp. 799-822
Open Access | Times Cited: 287
Benchmarking Model-Based Reinforcement Learning
Tingwu Wang, Xuchan Bao, Ignasi Clavera, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 245
Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods
Deirdre Quillen, Eric Jang, Ofir Nachum, et al.
(2018)
Open Access | Times Cited: 208
Reinforcement and Imitation Learning for Diverse Visuomotor Skills
Yuke Zhu, Ziyu Wang, Josh Merel, et al.
(2018)
Open Access | Times Cited: 199
End-To-End Robotic Reinforcement Learning without Reward Engineering
Avi Singh, Larry Yang, Chelsea Finn, et al.
(2019)
Open Access | Times Cited: 198
Motion Planning Networks: Bridging the Gap Between Learning-Based and Classical Motion Planners
Ahmed H. Qureshi, Yinglong Miao, Anthony Simeonov, et al.
IEEE Transactions on Robotics (2020) Vol. 37, Iss. 1, pp. 48-66
Open Access | Times Cited: 176
Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks
Michelle A. Lee, Yuke Zhu, Peter Zachares, et al.
IEEE Transactions on Robotics (2020) Vol. 36, Iss. 3, pp. 582-596
Open Access | Times Cited: 161
Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly
Jianlan Luo, Eugen Solowjow, Chengtao Wen, et al.
2022 International Conference on Robotics and Automation (ICRA) (2019), pp. 3080-3087
Open Access | Times Cited: 151
Collective robot reinforcement learning with distributed asynchronous guided policy search
Ali Abdullah Yahya, Adrian Li, Mrinal Kalakrishnan, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2017), pp. 79-86
Open Access | Times Cited: 147
Reinforcement learning with temporal logic rewards
Xiao Li, Cristian-Ioan Vasile, Călin Belta
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2017)
Open Access | Times Cited: 143
Unsupervised Perceptual Rewards for Imitation Learning
Pierre Sermanet, Kelvin Xu, Sergey Levine
(2017)
Open Access | Times Cited: 120
Deep predictive policy training using reinforcement learning
Ali Ghadirzadeh, Atsuto Maki, Danica Kragić, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2017)
Open Access | Times Cited: 119
SURREAL: Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark
Linxi Fan, Yuke Zhu, Jiren Zhu, et al.
Conference on Robot Learning (2018), pp. 767-782
Closed Access | Times Cited: 118
Reinforcement and Imitation Learning for Diverse Visuomotor Skills
Yuke Zhu, Ziyu Wang, Josh Merel, et al.
arXiv (Cornell University) (2018)
Open Access | Times Cited: 113
Self-Supervised Correspondence in Visuomotor Policy Learning
Pete Florence, Lucas Manuelli, Russ Tedrake
IEEE Robotics and Automation Letters (2019) Vol. 5, Iss. 2, pp. 492-499
Open Access | Times Cited: 87
Continuous control actions learning and adaptation for robotic manipulation through reinforcement learning
Asad Ali Shahid, Dario Piga, Francesco Braghin, et al.
Autonomous Robots (2022) Vol. 46, Iss. 3, pp. 483-498
Open Access | Times Cited: 41
Combining model-based and model-free updates for trajectory-centric reinforcement learning
Yevgen Chebotar, Karol Hausman, Marvin Zhang, et al.
International Conference on Machine Learning (2017), pp. 703-711
Closed Access | Times Cited: 86
Deep Reinforcement Learning for Robotic Assembly of Mixed Deformable and Rigid Objects
Jianlan Luo, Eugen Solowjow, Chengtao Wen, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2018), pp. 2062-2069
Closed Access | Times Cited: 82
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
Vitchyr H. Pong, Murtaza Dalal, Steven Lin, et al.
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 63
Optimal adaptive inspection and maintenance planning for deteriorating structural systems
Elizabeth Bismut, Dániel Straub
Reliability Engineering & System Safety (2021) Vol. 215, pp. 107891-107891
Open Access | Times Cited: 44
Learning Modular Robot Control Policies
Julian Whitman, Matthew Travers, Howie Choset
IEEE Transactions on Robotics (2023) Vol. 39, Iss. 5, pp. 4095-4113
Open Access | Times Cited: 20
Time-Contrastive Networks: Self-Supervised Learning from Video
Pierre Sermanet, Corey Lynch, Yevgen Chebotar, et al.
arXiv (Cornell University) (2017)
Closed Access | Times Cited: 57
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