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Artificial Development by Reinforcement Learning Can Benefit From Multiple Motivations
Research on artificial development, reinforcement learning, and intrinsic motivations like curiosity could profit from the recently developed framework of multi-objective reinforcement learning. The combination of these ideas may lead to more realistic artificial models for life-long learning and go...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805942/ https://www.ncbi.nlm.nih.gov/pubmed/33501023 http://dx.doi.org/10.3389/frobt.2019.00006 |