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Analysing factorizations of action-value networks for cooperative multi-agent reinforcement learning
Recent years have seen the application of deep reinforcement learning techniques to cooperative multi-agent systems, with great empirical success. However, given the lack of theoretical insight, it remains unclear what the employed neural networks are learning, or how we should enhance their learnin...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8550438/ https://www.ncbi.nlm.nih.gov/pubmed/34720685 http://dx.doi.org/10.1007/s10458-021-09506-w |