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,...

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Detalles Bibliográficos
Autores principales: Gao, Zijian, Xu, Kele, Ding, Bo, Wang, Huaimin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8393270/
https://www.ncbi.nlm.nih.gov/pubmed/34441184
http://dx.doi.org/10.3390/e23081043

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