Open Access Helper

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:

Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning With Shapley Values
Alexandre Heuillet, Fabien Couthouis, Natalia Díaz-Rodríguez
IEEE Computational Intelligence Magazine (2022) Vol. 17, Iss. 1, pp. 59-71
Open Access | Times Cited: 47

Showing 26-50 of 47 citing articles:

Explaining Aha! moments in artificial agents through IKE-XAI: Implicit Knowledge Extraction for eXplainable AI
Ikram Chraibi Kaadoud, Adrien Bennetot, Barbara Mawhin, et al.
Neural Networks (2022) Vol. 155, pp. 95-118
Open Access | Times Cited: 11
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges
Ziyuan Zhou, Guanjun Liu, Ying Tang
arXiv (Cornell University) (2023)
Open Access | Times Cited: 6
D-DARTS: Distributed Differentiable Architecture Search
Alexandre Heuillet, Hedi Tabia, Hichem Arioui, et al.
Pattern Recognition Letters (2023) Vol. 176, pp. 42-48
Open Access | Times Cited: 5
Towards a more efficient computation of individual attribute and policy contribution for post-hoc explanation of cooperative multi-agent systems using Myerson values
Giorgio Angelotti, Natalia Díaz-Rodríguez
Knowledge-Based Systems (2022) Vol. 260, pp. 110189-110189
Open Access | Times Cited: 8
Resource Scheduling Optimization of Fresh Food Delivery Porters Considering Ambient Temperature Variations
Ziyu Shan, Jianming Yao
Sustainability (2024) Vol. 16, Iss. 9, pp. 3624-3624
Open Access | Times Cited: 1
Resilience-based explainable reinforcement learning in chemical process safety
Kinga Szatmári, Gergely Horváth, Sándor Németh, et al.
Computers & Chemical Engineering (2024) Vol. 191, pp. 108849-108849
Open Access | Times Cited: 1
MAVIPER: Learning Decision Tree Policies for Interpretable Multi-agent Reinforcement Learning
Stephanie Milani, Zhicheng Zhang, Nicholay Topin, et al.
Lecture notes in computer science (2023), pp. 251-266
Closed Access | Times Cited: 4
Explainability and Graph Learning From Social Interactions
Valentina Shumovskaia, Κωνσταντίνος Ντέμος, Stefan Vlaski, et al.
IEEE Transactions on Signal and Information Processing over Networks (2022) Vol. 8, pp. 946-959
Open Access | Times Cited: 7
Flow-Based Reinforcement Learning
Dilini Samarasinghe, Michael Barlow, Erandi Lakshika
IEEE Access (2022) Vol. 10, pp. 102247-102265
Open Access | Times Cited: 4
Explanation with the Winter value: Efficient computation for hierarchical Choquet integrals
Christophe Labreuche
International Journal of Approximate Reasoning (2022) Vol. 151, pp. 225-250
Closed Access | Times Cited: 3
Exploring the Reliability of SHAP Values in Reinforcement Learning
Raphael C. Engelhardt, Moritz Lange, Laurenz Wiskott, et al.
Communications in computer and information science (2024), pp. 165-184
Closed Access
Rollout-based Shapley Values for Explainable Cooperative Multi-Agent Reinforcement Learning
Franco Ruggeri, William Emanuelsson, Ahmad Terra, et al.
(2024), pp. 227-233
Closed Access
Data Generation for Explainable Occupational Fraud Detection
Julian Tritscher, M. Wolf, Anna Krause, et al.
Lecture notes in computer science (2024), pp. 246-259
Closed Access
Toward a Quantitative Trustworthy Evaluation of Post-Hoc XAI Feature Importance Maps Using Saliency-Based Occlusion
Rym Dakhli, Walid Barhoumi
(2024), pp. 1-8
Closed Access
Security and privacy aspects in intelligence systems through blockchain and explainable AI
Michael Moses Thiruthuvanathan, Kukatlapalli Pradeep Kumar, Noureen Nasar, et al.
Elsevier eBooks (2024), pp. 365-400
Closed Access
Data-driven active corrective control in power systems: an interpretable deep reinforcement learning approach
Beibei Li, Qian Liu, Yue Hong, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access
Explainable Deep Reinforcement Learning for Multi-Agent Electricity Market Simulations
Kim K. Miskiw, Philipp Staudt
2022 18th International Conference on the European Energy Market (EEM) (2024), pp. 1-9
Closed Access
Understanding the Landscape: A Review of Explainable AI in Healthcare Decision-Making
Zulfikar Ali Ansari, Manish Madhava Tripathi, Rafeeq Ahmed
Research Square (Research Square) (2024)
Closed Access
Identifying Opinion Influencers over Social Networks
Valentina Shumovskaia, Mert Kayaalp, Ali H. Sayed
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Closed Access | Times Cited: 1
Explainable Multi-Agent Reinforcement Learning for Temporal Queries
Kayla Boggess, Sarit Kraus, Feng Lu
(2023), pp. 55-63
Open Access
Counterfactual and Causal Analysis for AI-Based Modulation and Coding Scheme Selection
Kun Hao, Jessica Moysen, Mustafa Özger
2022 IEEE Globecom Workshops (GC Wkshps) (2023), pp. 32-37
Open Access
Bargaining-Based Profit Allocation Model for Fixed Return Investment Water-Saving Management Contract
Shize Liu, Xiaosheng Wang, Wei Li
Axioms (2022) Vol. 11, Iss. 12, pp. 712-712
Open Access
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