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Adaptive Prior Selection for Repertoire-Based Online Adaptation in Robotics
Repertoire-based learning is a data-efficient adaptation approach based on a two-step process in which (1) a large and diverse set of policies is learned in simulation, and (2) a planning or learning algorithm chooses the most appropriate policies according to the current situation (e.g., a damaged...
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| Pubblicato in: | Front Robot AI |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Frontiers Media S.A.
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7805922/ https://ncbi.nlm.nih.gov/pubmed/33501166 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/frobt.2019.00151 |
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