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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:

Multi-emitter MAP-elites
Antoine Cully
Proceedings of the Genetic and Evolutionary Computation Conference (2021), pp. 84-92
Open Access | Times Cited: 23

Showing 23 citing articles:

Policy gradient assisted MAP-Elites
Olle Nilsson, Antoine Cully
Proceedings of the Genetic and Evolutionary Computation Conference (2021), pp. 866-875
Open Access | Times Cited: 48
Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains
Manon Flageat, Félix Chalumeau, Antoine Cully
ACM Transactions on Evolutionary Learning and Optimization (2023) Vol. 3, Iss. 1, pp. 1-32
Open Access | Times Cited: 13
Applications of Evolutionary Computation

Lecture notes in computer science (2023)
Closed Access | Times Cited: 10
Covariance Matrix Adaptation MAP-Annealing
Matthew C. Fontaine, Stefanos Nikolaidis
Proceedings of the Genetic and Evolutionary Computation Conference (2023), pp. 456-465
Open Access | Times Cited: 10
Dynamics-Aware Quality-Diversity for Efficient Learning of Skill Repertoires
Bryan Lim, Luca Grillotti, Lorenzo Bernasconi, et al.
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 5360-5366
Open Access | Times Cited: 12
Preference-Learning Emitters for Mixed-Initiative Quality-Diversity Algorithms
Roberto Gallotta, Kai Arulkumaran, L. B. Soros
IEEE Transactions on Games (2023) Vol. 16, Iss. 2, pp. 303-316
Open Access | Times Cited: 4
Leveraging More of Biology in Evolutionary Reinforcement Learning
Bruno Gašperov, Marko Đurasević, Domagoj Jakobović
Lecture notes in computer science (2024), pp. 91-114
Closed Access | Times Cited: 1
Enhancing MAP-Elites with Multiple Parallel Evolution Strategies
Manon Flageat, Bryan Lim, Antoine Cully
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 1082-1090
Closed Access | Times Cited: 1
Sparse reward exploration via novelty search and emitters
Giuseppe Paolo, Alexandre Coninx, Stéphane Doncieux, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2021)
Open Access | Times Cited: 11
Surrogate Infeasible Fitness Acquirement FI-2Pop for Procedural Content Generation
Roberto Gallotta, Kai Arulkumaran, L. B. Soros
2021 IEEE Conference on Games (CoG) (2022), pp. 500-503
Open Access | Times Cited: 7
Quality-Diversity Meta-Evolution: Customizing Behavior Spaces to a Meta-Objective
David M. Bossens, Danesh Tarapore
IEEE Transactions on Evolutionary Computation (2022) Vol. 26, Iss. 5, pp. 1171-1181
Open Access | Times Cited: 4
T-DominO
Adam Gaier, James Stoddart, Lorenzo Villaggi, et al.
Lecture notes in computer science (2022), pp. 263-277
Open Access | Times Cited: 4
Discovering and Exploiting Sparse Rewards in a Learned Behavior Space
Giuseppe Paolo, Alexandre Coninx, Alban Laflaquière, et al.
Evolutionary Computation (2023) Vol. 32, Iss. 3, pp. 275-305
Open Access | Times Cited: 2
Covariance Matrix Adaptation MAP-Annealing: Theory and Experiments
Shihan Zhao, Bryon Tjanaka, Matthew C. Fontaine, et al.
ACM Transactions on Evolutionary Learning and Optimization (2024) Vol. 5, Iss. 1, pp. 1-53
Open Access
CPU-GPU Parallelism Applied to Quality-Diversity Volume Rendering
Cristian Nicolae Buțincu, Marius Gavrilescu
2022 26th International Conference on System Theory, Control and Computing (ICSTCC) (2024), pp. 576-581
Closed Access
Quality-diversity in dissimilarity spaces
Steve Huntsman
Proceedings of the Genetic and Evolutionary Computation Conference (2023), pp. 1009-1018
Open Access | Times Cited: 1
A collection of quality diversity optimization problems derived from hyperparameter optimization of machine learning models
Lennart Schneider, Florian Pfisterer, Janek Thomas, et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2022), pp. 2136-2142
Open Access | Times Cited: 2
Automated exploration of DNA-based structure self-assembly networks
Léo Cazenille, Alexandre Baccouche, Nathanaël Aubert-Kato
Royal Society Open Science (2021) Vol. 8, Iss. 10
Open Access | Times Cited: 2
Dynamics-aware novelty search with behavior repulsion
Kang Xu, Yan Ma, Wei Li
Proceedings of the Genetic and Evolutionary Computation Conference (2022), pp. 1112-1120
Closed Access | Times Cited: 1
Improving the Size and Quality of MAP-Elites Containers via Multiple Emitters and Decoders for Urban Logistics
Neil Urquhart, Emma Hart
Lecture notes in computer science (2023), pp. 35-52
Closed Access
Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration
Hannah Janmohamed, Thomas Pierrot, Antoine Cully
Proceedings of the Genetic and Evolutionary Computation Conference (2023), pp. 165-173
Open Access
A Knowledge Transfer-Based Genetic Algorithm for Multi-Target Robotic Arm Control
Zheng Guo, YU Zhao-ping, Wenbin Pei, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2023), pp. 1-8
Closed Access
A discretization-free metric for assessing quality diversity algorithms
Paul R. C. Kent, Juergen Branke, Adam Gaier, et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2022), pp. 2131-2135
Closed Access
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