Academic Journal
Comparing lifetime learning methods for morphologically evolving robots
العنوان: | Comparing lifetime learning methods for morphologically evolving robots |
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المؤلفون: | Van Diggelen, Fuda, Ferrante, E., Eiben, A. E. |
المصدر: | Van Diggelen , F , Ferrante , E & Eiben , A E 2021 , Comparing lifetime learning methods for morphologically evolving robots . in GECCO 2021 : Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion . Association for Computing Machinery, Inc , pp. 93-94 , 2021 Genetic and Evolutionary Computation Conference, GECCO 2021 , Virtual, Online , France , 10/07/21 . https://doi.org/10.1145/3449726.3459530 |
بيانات النشر: | Association for Computing Machinery, Inc |
سنة النشر: | 2021 |
مصطلحات موضوعية: | evolutionary robotics, lifetime learning, morphological evolution |
الوصف: | The joint evolution of morphologies and controllers of robots leads to a problem: Even if the parents have well-matching bodies and brains, the stochastic recombination can break this match and cause a body-brain mismatch in their offspring. This can be mitigated by having newborn robots perform a learning process that optimizes their inherited brain quickly after birth. An adequate learning method should work on all possible robot morphologies and be efficient. In this paper we apply Bayesian Optimization and Differential Evolution as learning algorithms and compare them on a test suite of different robot bodies. |
نوع الوثيقة: | article in journal/newspaper |
وصف الملف: | application/pdf |
اللغة: | English |
ردمك: | 978-1-4503-8351-6 1-4503-8351-3 |
Relation: | urn:ISBN:9781450383516 |
DOI: | 10.1145/3449726.3459530 |
الاتاحة: | https://research.vu.nl/en/publications/7d076b58-d8e1-436e-af67-6b10c5feaa63 https://doi.org/10.1145/3449726.3459530 https://hdl.handle.net/1871.1/7d076b58-d8e1-436e-af67-6b10c5feaa63 https://research.vu.nl/ws/files/153307398/Comparing_lifetime_learning_methods_for_morphologically_evolving_robots.pdf http://www.scopus.com/inward/record.url?scp=85111016096&partnerID=8YFLogxK http://www.scopus.com/inward/citedby.url?scp=85111016096&partnerID=8YFLogxK |
Rights: | info:eu-repo/semantics/openAccess |
رقم الانضمام: | edsbas.45CC6EC8 |
قاعدة البيانات: | BASE |
ردمك: | 9781450383516 1450383513 |
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DOI: | 10.1145/3449726.3459530 |