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:
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
Giuseppe Paolo, Alexandre Coninx, Stéphane Doncieux, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2021)
Open Access | Times Cited: 11
Showing 11 citing articles:
Evolutionary Reinforcement Learning: A Survey
Hui Bai, Ran Cheng, Yaochu Jin
Intelligent Computing (2023) Vol. 2
Open Access | Times Cited: 34
Hui Bai, Ran Cheng, Yaochu Jin
Intelligent Computing (2023) Vol. 2
Open Access | Times Cited: 34
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
Matthew C. Fontaine, Stefanos Nikolaidis
Proceedings of the Genetic and Evolutionary Computation Conference (2023), pp. 456-465
Open Access | Times Cited: 10
pyribs: A Bare-Bones Python Library for Quality Diversity Optimization
Bryon Tjanaka, Matthew C. Fontaine, David H. Lee, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2023)
Open Access | Times Cited: 6
Bryon Tjanaka, Matthew C. Fontaine, David H. Lee, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2023)
Open Access | Times Cited: 6
Few-Shot Quality-Diversity Optimization
Achkan Salehi, Alexandre Coninx, Stéphane Doncieux
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 2, pp. 4424-4431
Open Access | Times Cited: 8
Achkan Salehi, Alexandre Coninx, Stéphane Doncieux
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 2, pp. 4424-4431
Open Access | Times Cited: 8
Bayesian Optimisation for Quality Diversity Search With Coupled Descriptor Functions
Paul F. Kent, Adam Gaier, Jean-Baptiste Mouret, et al.
IEEE Transactions on Evolutionary Computation (2024), pp. 1-1
Open Access | Times Cited: 1
Paul F. Kent, Adam Gaier, Jean-Baptiste Mouret, et al.
IEEE Transactions on Evolutionary Computation (2024), pp. 1-1
Open Access | Times Cited: 1
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
Giuseppe Paolo, Alexandre Coninx, Alban Laflaquière, et al.
Evolutionary Computation (2023) Vol. 32, Iss. 3, pp. 275-305
Open Access | Times Cited: 2
Curiosity Creates Diversity in Policy Search
Paul-Antoine Le Tolguenec, Emmanuel Rachelson, Yann Besse, et al.
ACM Transactions on Evolutionary Learning and Optimization (2023) Vol. 3, Iss. 3, pp. 1-20
Open Access | Times Cited: 2
Paul-Antoine Le Tolguenec, Emmanuel Rachelson, Yann Besse, et al.
ACM Transactions on Evolutionary Learning and Optimization (2023) Vol. 3, Iss. 3, pp. 1-20
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
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
Relevance-guided unsupervised discovery of abilities with quality-diversity algorithms
Luca Grillotti, Antoine Cully
Proceedings of the Genetic and Evolutionary Computation Conference (2022)
Open Access | Times Cited: 2
Luca Grillotti, Antoine Cully
Proceedings of the Genetic and Evolutionary Computation Conference (2022)
Open Access | Times Cited: 2
Few-shot Quality-Diversity Optimisation.
Achkan Salehi, Alexandre Coninx, Stéphane Doncieux
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 1
Achkan Salehi, Alexandre Coninx, Stéphane Doncieux
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 1
Learning in Sparse Rewards settings through Quality-Diversity algorithms
Giuseppe Paolo
arXiv (Cornell University) (2022)
Open Access
Giuseppe Paolo
arXiv (Cornell University) (2022)
Open Access
