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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:

d3rlpy: An Offline Deep Reinforcement Learning Library
Takuma Seno, Michita Imai
arXiv (Cornell University) (2021)
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Direct learning of improved control policies from historical plant data
Khalid Alhazmi, S. Mani Sarathy
Computers & Chemical Engineering (2024) Vol. 185, pp. 108662-108662
Closed Access | Times Cited: 3
Train Offline, Test Online: A Real Robot Learning Benchmark
Gaoyue Zhou, Victoria Dean, Mohan Kumar Srirama, et al.
(2023)
Open Access | Times Cited: 7
ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning
Linkang Du, Min Chen, Mingyang Sun, et al.
(2024)
Open Access | Times Cited: 2
Online Reinforcement Learning-Based Pedagogical Planning for Narrative-Centered Learning Environments
Fahmid Morshed Fahid, Jonathan Rowe, Yeo Jin Kim, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 21, pp. 23191-23199
Open Access | Times Cited: 1
Learning behavior of offline reinforcement learning agents
Indu Shukla, Haley Dozier, Althea C. Henslee
(2024)
Closed Access | Times Cited: 1
A Comparative Study of Data-driven Offline Reinforcement Learning for Fed-batch Process Control
Omid Sobhani, Furkan Elmaz, Michiel Robeyn, et al.
Computer-aided chemical engineering/Computer aided chemical engineering (2024), pp. 3157-3162
Closed Access | Times Cited: 1
Learning new attack vectors from misuse cases with deep reinforcement learning
Eric MSP Veith, Arlena Wellßow, Mathias Uslar
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 3
Cherry-Picking with Reinforcement Learning
Yunchu Zhang, Liyiming Ke, A. Deshpande, et al.
(2023)
Open Access | Times Cited: 3
Offline Quantum Reinforcement Learning in a Conservative Manner
Zhihao Cheng, Kaining Zhang, Li Shen, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 6, pp. 7148-7156
Open Access | Times Cited: 2
OER: Offline Experience Replay for Continual Offline Reinforcement Learning
Sibo Gai, Donglin Wang, Li He
Frontiers in artificial intelligence and applications (2023)
Open Access | Times Cited: 2
A Grasp Pose is All You Need: Learning Multi-Fingered Grasping with Deep Reinforcement Learning from Vision and Touch
Federico Ceola, Elisa Maiettini, Lorenzo Rosasco, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023), pp. 2985-2992
Open Access | Times Cited: 2
A Study of Model Based and Model Free Offline Reinforcement Learning
Indu Shukla, Haley Dozier, Althea C. Henslee
2021 International Conference on Computational Science and Computational Intelligence (CSCI) (2022), pp. 315-316
Closed Access | Times Cited: 3
Exploiting Symmetry in Dynamics for Model-Based Reinforcement Learning With Asymmetric Rewards
Yasin Sonmez, Neelay Junnarkar, Murat Arcak
IEEE Control Systems Letters (2024) Vol. 8, pp. 1180-1185
Open Access
Real-Data-Driven Offline Reinforcement Learning for Autonomous Vehicle Speed Decision Making
Jiachen Hao, Shuyuan Xu, Chen Xue-mei, et al.
2022 34th Chinese Control and Decision Conference (CCDC) (2024), pp. 2504-2511
Closed Access
Multi-objective Cross-task Learning via Goal-conditioned GPT-based Decision Transformers for Surgical Robot Task Automation
Jiawei Fu, Yonghao Long, Kai Chen, et al.
(2024), pp. 13362-13368
Open Access
Adaptive Motion Scaling for Robot-Assisted Microsurgery Based on Hybrid Offline Reinforcement Learning and Damping Control
Peiyang Jiang, Wei Li, Yifan Li, et al.
(2024), pp. 8216-8222
Closed Access
Baffle: Hiding Backdoors in Offline Reinforcement Learning Datasets
Chen Gong, Zhou Yang, Yunpeng Bai, et al.
2022 IEEE Symposium on Security and Privacy (SP) (2024) Vol. 34, pp. 2086-2104
Closed Access
Enhancing Offline Reinforcement Learning via Dynamics-Aware Mixup
Chang Tan, Yunjie Su, Jiaao Wang
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 33, pp. 1-8
Closed Access
Personalized Decision Making for Coronary Artery Disease Treatment using Offline Reinforcement Learning
Peyman Ghasemi, James A. White, Joon S. Lee
Research Square (Research Square) (2024)
Open Access
Offline Reinforcement Learning for Adaptive Control in Manufacturing Processes: A Press Hardening Case Study
Nuria Nievas, Leonardo Espinosa-Leal, Adela Pagès‐Bernaus, et al.
Journal of Computing and Information Science in Engineering (2024) Vol. 25, Iss. 1
Open Access
A Novel Differentially Private Online Learning Algorithm for Group Lasso in Big Data
Jinxia Li, Liwei Lu
IET Information Security (2024) Vol. 2024, Iss. 1
Open Access
Cross-domain data-driven reinforcement learning for IGSO satellite coverage optimization
Dongyu Xu, Yifan Bo, Biao Leng
Neurocomputing (2024), pp. 129278-129278
Closed Access
Robot Theory of Mind with Reverse Psychology
Chuang Yu, Baris Serhan, Marta Romeo, et al.
(2023), pp. 545-547
Open Access | Times Cited: 1
Uncertainty-Aware Data Augmentation for Offline Reinforcement Learning
Yunjie Su, Yilun Kong, Xueqian Wang
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-8
Closed Access | Times Cited: 1
Improving Nonlinear Model Predictive Control Laws via Implicit Q-Learning
Khalid Alhazmi, S. Mani Sarathy
IFAC-PapersOnLine (2023) Vol. 56, Iss. 2, pp. 10027-10032
Open Access | Times Cited: 1
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