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Deep-Reinforcement Learning-Based Co-Evolution in a Predator–Prey System
Understanding or estimating the co-evolution processes is critical in ecology, but very challenging. Traditional methods are difficult to deal with the complex processes of evolution and to predict their consequences on nature. In this paper, we use the deep-reinforcement learning algorithms to endo...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515302/ https://www.ncbi.nlm.nih.gov/pubmed/33267487 http://dx.doi.org/10.3390/e21080773 |