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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:

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

Showing 20 citing articles:

Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods
Yuji Cao, Huan Zhao, Yuheng Cheng, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024), pp. 1-21
Open Access | Times Cited: 11
Human as AI mentor: Enhanced human-in-the-loop reinforcement learning for safe and efficient autonomous driving
Zilin Huang, Zihao Sheng, Chengyuan Ma, et al.
Communications in Transportation Research (2024) Vol. 4, pp. 100127-100127
Open Access | Times Cited: 10
Reward shaping-based deep reinforcement learning for look-ahead dispatch with rolling-horizon
Hongsheng Xu, Yungui Xu, Ke Wang, et al.
International Journal of Electrical Power & Energy Systems (2025) Vol. 168, pp. 110673-110673
Closed Access
Goal Alignment: Re-analyzing Value Alignment Problems Using Human-Aware AI
Malek Mechergui, Sarath Sreedharan
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 9, pp. 10110-10118
Open Access | Times Cited: 3
Enhancing Safety in Learning from Demonstration Algorithms via Control Barrier Function Shielding
Yue Yang, Letian Chen, Zulfiqar Zaidi, et al.
(2024), pp. 820-829
Open Access | Times Cited: 2
Impulsive maneuver strategy for multi-agent orbital pursuit-evasion game under sparse rewards
Hongbo Wang, Yao Zhang
Aerospace Science and Technology (2024), pp. 109618-109618
Closed Access | Times Cited: 2
Carbon Dioxide Emission Reduction-Oriented Optimal Control of Traffic Signals in Mixed Traffic Flow Based on Deep Reinforcement Learning
Zhaowei Wang, Le Xu, Jianxiao Ma
Sustainability (2023) Vol. 15, Iss. 24, pp. 16564-16564
Open Access | Times Cited: 5
Human as AI Mentor: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving
Zilin Huang, Zihao Sheng, Chengyuan Ma, et al.
arXiv (Cornell University) (2024)
Open Access | Times Cited: 1
On the Benefit of Optimal Transport for Curriculum Reinforcement Learning
Pascal Klink, Carlo D’Eramo, Jan Peters, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 11, pp. 7191-7204
Open Access | Times Cited: 1
Human-Centered Autonomy for UAS Target Search
Hunter M. Ray, Zakariya Laouar, Zachary N. Sunberg, et al.
(2024), pp. 9563-9570
Open Access | Times Cited: 1
Beyond Preferences in AI Alignment
Tan Zhi‐Xuan, Micah Carroll, Matija Franklin, et al.
Philosophical Studies (2024)
Open Access | Times Cited: 1
Learning to Evaluate Potential Safety Risk of Ego-Vehicle via Inverse Reinforcement Learning
Bin Zhao, Xiangjin Liu, Hewei Li, et al.
2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) (2024), pp. 1520-1526
Closed Access
The Man Behind the Curtain: Appropriating Fairness in AI
Marcin Korecki, Guillaume Köstner, Emanuele Martinelli, et al.
Minds and Machines (2024) Vol. 34, Iss. 1
Open Access
Reward Shaping-Based Deep Reinforcement Learning for Look-Ahead Dispatch with Dynamic Horizons
Hongsheng Xu, Yungui Xu, Yaping Li, et al.
(2024)
Closed Access
Lightweight sensing-computing-decision collaboration enhancement for multi-mobile terminals
Yuan GAO, Sicong LIU, Bin GUO, et al.
Scientia Sinica Informationis (2024) Vol. 54, Iss. 9, pp. 2136-2136
Open Access
A Workflow for Building Computationally Rational Models of Human Behavior
Suyog Chandramouli, Danqing Shi, Aini Putkonen, et al.
Computational Brain & Behavior (2024) Vol. 7, Iss. 3, pp. 399-419
Open Access
Tolerance of Reinforcement Learning Controllers Against Deviations in Cyber Physical Systems
Changjian Zhang, Parv Kapoor, Rômulo Meira-Góes, et al.
Lecture notes in computer science (2024), pp. 267-285
Open Access
Interactive Visual Analytics for Reward Function Setting of Reinforcement Learning: A Case Study of Soccer Games
Yanan Hu, Weilian Song, Xingui Lai, et al.
(2024), pp. 1-1
Closed Access
Generating and Evolving Reward Functions for Highway Driving with Large Language Models
Xu Han, Qiong Yang, Xianda Chen, et al.
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (2024), pp. 831-836
Closed Access
Aligning Robot Behaviors with Human Intents by Exposing Learned Behaviors and Resolving Misspecifications
Serena Booth
(2023), pp. 742-744
Closed Access | Times Cited: 1
On the Benefit of Optimal Transport for Curriculum Reinforcement Learning
Pascal Klink, Carlo D’Eramo, Jan Peters, et al.
arXiv (Cornell University) (2023)
Open Access
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