Federated Reinforcement Learning
Federated Reinforcement Learning
Hankui Zhuo,Wenfeng Feng,2 Authors,Yufeng Lin
2019 · DBLP: journals/corr/abs-1901-08277
arXiv.org · 83 Citations
TLDR
A novel deep reinforcement learning framework to federatively build models of high-quality for agents with consideration of their privacies, namely Federated deep Reinforcement Learning (FedRL) is proposed and exploited to protect the privacy of data and models.