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:
Learning to Locomote: Understanding How Environment Design Matters for Deep Reinforcement Learning
Daniele Reda, Tianxin Tao, Michiel van de Panne
(2020)
Open Access | Times Cited: 17
Daniele Reda, Tianxin Tao, Michiel van de Panne
(2020)
Open Access | Times Cited: 17
Showing 17 citing articles:
Concurrent Training of a Control Policy and a State Estimator for Dynamic and Robust Legged Locomotion
Gwanghyeon Ji, Juhyeok Mun, Hyeongjun Kim, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 2, pp. 4630-4637
Open Access | Times Cited: 76
Gwanghyeon Ji, Juhyeok Mun, Hyeongjun Kim, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 2, pp. 4630-4637
Open Access | Times Cited: 76
A Survey on Reinforcement Learning Methods in Character Animation
Ariel Kwiatkowski, Eduardo Alvarado, Vicky Kalogeiton, et al.
Computer Graphics Forum (2022) Vol. 41, Iss. 2, pp. 613-639
Open Access | Times Cited: 25
Ariel Kwiatkowski, Eduardo Alvarado, Vicky Kalogeiton, et al.
Computer Graphics Forum (2022) Vol. 41, Iss. 2, pp. 613-639
Open Access | Times Cited: 25
Learning to Platforming: A Graph Neural Network Based Deep Reinforcement Learning Method for the Train Platforming and Rescheduling Problem
Hongxiang Zhang, Andrea D’Ariano, Yongqiu Zhu, et al.
(2025)
Closed Access
Hongxiang Zhang, Andrea D’Ariano, Yongqiu Zhu, et al.
(2025)
Closed Access
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
Malte Schilling, Andrew Melnik, Frank W. Ohl, et al.
Neural Networks (2021) Vol. 144, pp. 699-725
Open Access | Times Cited: 23
Automated position control of tunnel boring machine during excavation using deep reinforcement learning considering spatial-temporal dynamics
Penghui Lin, Ankang Ji, Yunxiang Zhou, et al.
Applied Soft Computing (2024), pp. 112234-112234
Closed Access | Times Cited: 2
Penghui Lin, Ankang Ji, Yunxiang Zhou, et al.
Applied Soft Computing (2024), pp. 112234-112234
Closed Access | Times Cited: 2
Observation Space Matters: Benchmark and Optimization Algorithm
Joanne Taery Kim, Sehoon Ha
(2021), pp. 1527-1534
Open Access | Times Cited: 11
Joanne Taery Kim, Sehoon Ha
(2021), pp. 1527-1534
Open Access | Times Cited: 11
Accessibility-Based Clustering for Efficient Learning of Locomotion Skills
Chong Zhang, Wanming Yu, Zhibin Li
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 1600-1606
Open Access | Times Cited: 4
Chong Zhang, Wanming Yu, Zhibin Li
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 1600-1606
Open Access | Times Cited: 4
Reinforcement Learning with Adaptive Curriculum Dynamics Randomization for Fault-Tolerant Robot Control
Wataru Okamoto, Hiroshi Kera, Kazuhiko Kawamoto
arXiv (Cornell University) (2021)
Open Access | Times Cited: 4
Wataru Okamoto, Hiroshi Kera, Kazuhiko Kawamoto
arXiv (Cornell University) (2021)
Open Access | Times Cited: 4
Applicability and Challenges of Deep Reinforcement Learning for Satellite Frequency Plan Design
Juan Jose Garau Luis, Edward F. Crawley, Bruce Cameron
IEEE Aerospace Conference (2021), pp. 1-11
Open Access | Times Cited: 3
Juan Jose Garau Luis, Edward F. Crawley, Bruce Cameron
IEEE Aerospace Conference (2021), pp. 1-11
Open Access | Times Cited: 3
The Successful Ingredients of Policy Gradient Algorithms
Sven Gronauer, Martin Gottwald, Klaus Diepold
(2021), pp. 2455-2461
Open Access | Times Cited: 3
Sven Gronauer, Martin Gottwald, Klaus Diepold
(2021), pp. 2455-2461
Open Access | Times Cited: 3
Towards Automatic Actor-Critic Solutions to Continuous Control
Jake Grigsby, Jin Yong Yoo, Yanjun Qi
arXiv (Cornell University) (2021)
Open Access | Times Cited: 2
Jake Grigsby, Jin Yong Yoo, Yanjun Qi
arXiv (Cornell University) (2021)
Open Access | Times Cited: 2
Avoid Overfitting in Deep Reinforcement Learning: Increasing Robustness Through Decentralized Control
Malte Schilling
Lecture notes in computer science (2021), pp. 638-649
Closed Access | Times Cited: 2
Malte Schilling
Lecture notes in computer science (2021), pp. 638-649
Closed Access | Times Cited: 2
Attaining Interpretability in Reinforcement Learning via Hierarchical Primitive Composition.
Jeong Hoon Lee, Jongeun Choi
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 2
Jeong Hoon Lee, Jongeun Choi
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 2
PFPN: Continuous Control of Physically Simulated Characters using Particle Filtering Policy Network
Pei Xu, Ioannis Karamouzas
(2021), pp. 1-12
Open Access | Times Cited: 1
Pei Xu, Ioannis Karamouzas
(2021), pp. 1-12
Open Access | Times Cited: 1
Applicability and Challenges of Deep Reinforcement Learning for Satellite Frequency Plan Design
Juan Jose Garau Luis, Edward F. Crawley, Bruce Cameron
arXiv (Cornell University) (2020)
Closed Access
Juan Jose Garau Luis, Edward F. Crawley, Bruce Cameron
arXiv (Cornell University) (2020)
Closed Access
Observation Space Matters: Benchmark and Optimization Algorithm
Joanne Taery Kim, Sehoon Ha
arXiv (Cornell University) (2020)
Open Access
Joanne Taery Kim, Sehoon Ha
arXiv (Cornell University) (2020)
Open Access
Accessibility-Based Clustering for Efficient Learning of Robot Fall Recovery.
Chong Zhang, Wanming Yu, Zhibin Li
arXiv (Cornell University) (2021)
Closed Access
Chong Zhang, Wanming Yu, Zhibin Li
arXiv (Cornell University) (2021)
Closed Access
