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An Evaluation Methodology for Interactive Reinforcement Learning with Simulated Users
Interactive reinforcement learning methods utilise an external information source to evaluate decisions and accelerate learning. Previous work has shown that human advice could significantly improve learning agents’ performance. When evaluating reinforcement learning algorithms, it is common to repe...
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| Publicado en: | Biomimetics (Basel) |
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| Autores principales: | , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7985787/ https://ncbi.nlm.nih.gov/pubmed/33572399 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/biomimetics6010013 |
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