The University of Southampton
University of Southampton Institutional Repository
Warning ePrints Soton is experiencing an issue with some file downloads not being available. We are working hard to fix this. Please bear with us.

Learning behaviour-performance maps with meta-evolution

Learning behaviour-performance maps with meta-evolution
Learning behaviour-performance maps with meta-evolution
Behavioural diversity, Damage recovery, Evolutionary robotics, Meta-learning, Quality-diversity algorithms
49-57
Bossens, David
633a4d28-2e59-4343-98fe-283082ba1873
Mouret, Jean-Baptiste
a837dbc0-1852-4e6f-93d8-41d927305eaf
Tarapore, Danesh
fe8ec8ae-1fad-4726-abef-84b538542ee4
Bossens, David
633a4d28-2e59-4343-98fe-283082ba1873
Mouret, Jean-Baptiste
a837dbc0-1852-4e6f-93d8-41d927305eaf
Tarapore, Danesh
fe8ec8ae-1fad-4726-abef-84b538542ee4

Bossens, David, Mouret, Jean-Baptiste and Tarapore, Danesh (2020) Learning behaviour-performance maps with meta-evolution. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2020. pp. 49-57 .

Record type: Conference or Workshop Item (Paper)

This record has no associated files available for download.

More information

Published date: 2020
Keywords: Behavioural diversity, Damage recovery, Evolutionary robotics, Meta-learning, Quality-diversity algorithms

Identifiers

Local EPrints ID: 441277
URI: http://eprints.soton.ac.uk/id/eprint/441277
PURE UUID: af83dadc-2bd1-4cc9-8f89-62282b75f6c7
ORCID for David Bossens: ORCID iD orcid.org/0000-0003-1924-5756
ORCID for Danesh Tarapore: ORCID iD orcid.org/0000-0002-3226-6861

Catalogue record

Date deposited: 08 Jun 2020 16:31
Last modified: 26 Nov 2021 03:19

Export record

Contributors

Author: David Bossens ORCID iD
Author: Jean-Baptiste Mouret
Author: Danesh Tarapore ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×