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Adaptive Discount Factor for Deep Reinforcement Learning in Continuing Tasks with Uncertainty
Reinforcement learning (RL) trains an agent by maximizing the sum of a discounted reward. Since the discount factor has a critical effect on the learning performance of the RL agent, it is important to choose the discount factor properly. When uncertainties are involved in the training, the learning...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9570626/ https://www.ncbi.nlm.nih.gov/pubmed/36236366 http://dx.doi.org/10.3390/s22197266 |