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KnowRU: Knowledge Reuse via Knowledge Distillation in Multi-Agent Reinforcement Learning
Recently, deep reinforcement learning (RL) algorithms have achieved significant progress in the multi-agent domain. However, training for increasingly complex tasks would be time-consuming and resource intensive. To alleviate this problem, efficient leveraging of historical experience is essential,...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8393270/ https://www.ncbi.nlm.nih.gov/pubmed/34441184 http://dx.doi.org/10.3390/e23081043 |