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Kheperax: a lightweight jax-based robot control environment for benchmarking quality-diversity algorithms
File(s)
3583133.3596387.pdf (985.95 KB)
Published version
Author(s)
Grillotti, Luca
Cully, Antoine
Type
Conference Paper
Date Issued
2023-07-24
Date Acceptance
2023-07-01
Citation
Proceedings of the Companion Conference on Genetic and Evolutionary Computation, 2023, pp.2163-2165
URI
DOI
ISBN
9798400701207
Publisher
Association for Computing Machinery
Start Page
2163
End Page
2165
Journal / Book Title
Proceedings of the Companion Conference on Genetic and Evolutionary Computation
Copyright Statement
© 2023 Owner/Author(s).
This work is licensed under a Creative Commons Attribution International 4.0 License (https://creativecommons.org/licenses/by/4.0/)
License URL
Source
Genetic and Evolutionary Computation Conference (GECCO)
Subjects
Computer Science
Computer Science, Artificial Intelligence
Computer Science, Information Systems
Neuroevolution
Quality-Diversity
Science & Technology
Technology
Publication Status
Published
Start Date
2023-07-15
Finish Date
2023-07-19
Coverage Spatial
Lisbon, Portugal