Reward Shaping Based Federated Reinforcement Learning

Federated reinforcement learning aims to promote training efficiency or improve policy quality through information interaction with privacy protection. Existing federated reinforcement learning methods rarely utilize the structure of reinforcement learning algorithms while are limiting to specific s...

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Bibliographic Details
Main Authors: Yiqiu Hu, Yun Hua, Wenyan Liu, Jun Zhu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9408573/