Reward-based participant selection for improving federated reinforcement learning

Federated reinforcement learning (FRL) has recently received a lot of attention in various fields. In FRL systems, the concept of performing more proper actions with better experiences exists, and we focused on this unique characteristic. Motivated by such inherent property of FRL, in this paper, we...

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Hlavní autor:	Woonghee Lee
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2023-10-01
Edice:	ICT Express
Témata:	Federated learning Reinforcement learning Federated reinforcement learning Participant selection
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S240595952200131X
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