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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:

Dealing with multiple experts and non-stationarity in inverse reinforcement learning: an application to real-life problems
Amarildo Likmeta, Alberto Maria Metelli, Giorgia Ramponi, et al.
Machine Learning (2021) Vol. 110, Iss. 9, pp. 2541-2576
Open Access | Times Cited: 13

Showing 13 citing articles:

A Tutorial on Internet of Behaviors: Concept, Architecture, Technology, Applications, and Challenges
Qinglin Zhao, Guangcheng Li, Jincheng Cai, et al.
IEEE Communications Surveys & Tutorials (2023) Vol. 25, Iss. 2, pp. 1227-1260
Closed Access | Times Cited: 27
Bankruptcy-evolutionary games based solution for the multi-agent credit assignment problem
Hossein Yarahmadi, Mohammad Ebrahim Shiri, Hamidreza Navidi, et al.
Swarm and Evolutionary Computation (2023) Vol. 77, pp. 101229-101229
Closed Access | Times Cited: 18
Online Learning Human Behavior for a Class of Human-in-the-Loop Systems via Adaptive Inverse Optimal Control
Huai‐Ning Wu
IEEE Transactions on Human-Machine Systems (2022) Vol. 52, Iss. 5, pp. 1004-1014
Closed Access | Times Cited: 23
Map matching on low sampling rate trajectories through deep inverse reinforcement learning and multi-intention modeling
Reza Safarzadeh Ramhormozi, Xin Wang
International Journal of Geographical Information Science (2024) Vol. 38, Iss. 12, pp. 2648-2683
Closed Access | Times Cited: 3
Inverse Reinforcement Learning as the Algorithmic Basis for Theory of Mind: Current Methods and Open Problems
Jaime Ruiz-Serra, Michael Harré
Algorithms (2023) Vol. 16, Iss. 2, pp. 68-68
Open Access | Times Cited: 7
Option compatible reward inverse reinforcement learning
Rakhoon Hwang, Hanjin Lee, Hyung Ju Hwang
Pattern Recognition Letters (2022) Vol. 154, pp. 83-89
Open Access | Times Cited: 8
First, do no harm - Missing data treatment to support lake ecological condition assessment
Grzegorz Chrobak, Tomasz Kowalczyk, Thomas B. Fischer, et al.
Environmental Modelling & Software (2022) Vol. 158, pp. 105558-105558
Open Access | Times Cited: 6
User Behavior Analysis in Online Health Community Based on Inverse Reinforcement Learning
Yaqi Zhang, Xi Wang, Zhiya Zuo, et al.
Lecture notes in business information processing (2024), pp. 250-259
Closed Access
Expert-Trajectory-Based Features for Apprenticeship Learning via Inverse Reinforcement Learning for Robotic Manipulation
Francisco J. Naranjo-Campos, Juan G. Victores, Carlos Balaguer
Applied Sciences (2024) Vol. 14, Iss. 23, pp. 11131-11131
Open Access
Forming Real-World Human-Robot Cooperation for Tasks With General Goal
Lingfeng Tao, Michael Bowman, Jiucai Zhang, et al.
IEEE Robotics and Automation Letters (2021) Vol. 7, Iss. 2, pp. 762-769
Open Access | Times Cited: 2
Model-free inverse reinforcement learning with multi-intention, unlabeled, and overlapping demonstrations
Ariyan Bighashdel, Pavol Jancura, Gijs Dubbelman
Machine Learning (2022) Vol. 112, Iss. 7, pp. 2263-2296
Open Access | Times Cited: 1
Tight Performance Guarantees of Imitator Policies with Continuous Actions
Davide Maran, Alberto Maria Metelli, Marcello Restelli
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 8, pp. 9073-9080
Open Access
Inverse Contextual Bandits: Learning How Behavior Evolves over Time.
Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
arXiv (Cornell University) (2021)
Closed Access
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