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Teaching Multiple Inverse Reinforcement Learners
In this paper, we propose the first machine teaching algorithm for multiple inverse reinforcement learners. As our initial contribution, we formalize the problem of optimally teaching a sequential task to a heterogeneous class of learners. We then contribute a theoretical analysis of such problem, i...
Autores principales: | Melo, Francisco S., Lopes, Manuel |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8482012/ https://www.ncbi.nlm.nih.gov/pubmed/34604737 http://dx.doi.org/10.3389/frai.2021.625183 |
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