Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Learning behaviour-performance maps with meta-evolution
David M. Bossens, Jean-Baptiste Mouret, Danesh Tarapore
Proceedings of the Genetic and Evolutionary Computation Conference (2020)
Open Access | Times Cited: 19

Showing 19 citing articles:

Unsupervised Behavior Discovery With Quality-Diversity Optimization
Luca Grillotti, Antoine Cully
IEEE Transactions on Evolutionary Computation (2022) Vol. 26, Iss. 6, pp. 1539-1552
Closed Access | Times Cited: 17
A Hierarchical Approach to Evolving Behaviour-Trees for Swarm Control
Kirsty Montague, Emma Hart, Ben Paechter
Lecture notes in computer science (2024), pp. 178-193
Closed Access | Times Cited: 1
Rapidly adapting robot swarms with Swarm Map-based Bayesian Optimisation
David M. Bossens, Danesh Tarapore
(2021), pp. 9848-9854
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
Rapidly adapting robot swarms with Swarm Map-based Bayesian Optimisation
David M. Bossens, Danesh Tarapore
arXiv (Cornell University) (2020)
Open Access | Times Cited: 4
Learning Descriptors for Novelty-Search Based Instance Generation via Meta-evolution
Alejandro Marrero, Eduardo Segredo, Coromoto León, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 206-213
Open Access
Adaptive Optimization of Hyper-Parameters for Robotic Manipulation through Evolutionary Reinforcement Learning
Giulio Onori, Asad Ali Shahid, Francesco Braghin, et al.
Journal of Intelligent & Robotic Systems (2024) Vol. 110, Iss. 3
Open Access
A Quality Diversity Study in EvoDevo Processes for Engineering Design
Edgar Buchanan, Simon Hickinbotham, Rahul Dubey, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-8
Open Access
Entropy-based evolutionary diversity optimisation for the traveling salesperson problem
Adel Nikfarjam, Jakob Bossek, Aneta Neumann, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2021), pp. 600-608
Open Access | Times Cited: 3
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
Open-Ended Search for Environments and Adapted Agents Using MAP-Elites
Emma Stensby Norstein, Kai Olav Ellefsen, Kyrre Glette
Lecture notes in computer science (2022), pp. 651-666
Open Access | Times Cited: 2
On the use of feature-maps and parameter control for improved quality-diversity meta-evolution
David M. Bossens, Danesh Tarapore
arXiv (Cornell University) (2021)
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
On the use of feature-maps and parameter control for improved quality-diversity meta-evolution.
David M. Bossens, Danesh Tarapore
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 1
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization
Junyi Wang, Yuanyang Zhu, Zhi Wang, et al.
Frontiers in artificial intelligence and applications (2023)
Open Access
Evolution of linkages for prototyping of linkage based robots
Emma Stensby Norstein, Kai Olav Ellefsen, Frank Veenstra, et al.
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2022)
Open Access
Selecting for Selection: Learning To Balance Adaptive and Diversifying Pressures in Evolutionary Search
Kevin Frans, L. B. Soros, Olaf Witkowski
arXiv (Cornell University) (2021)
Open Access
On the use of feature-maps for improved quality-diversity meta-evolution
David M. Bossens, Danesh Tarapore
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2021), pp. 83-84
Open Access
Quality-Diversity Meta-Evolution: customising behaviour spaces to a meta-objective
David M. Bossens, Danesh Tarapore
arXiv (Cornell University) (2021)
Open Access
Page 1

Scroll to top