May 24, 2021 · In this paper, we propose federated reinforcement learning based on multi agent environment which applying a new federation policy. The new ...
Oct 22, 2024 · In this paper, we propose federated reinforcement learning based on multi agent environment which applying a new federation policy. The new ...
This paper proposes federated reinforcement learning based on multi agent environment which applying a new federation policy that allows multi agents to ...
The proposed federation policy allows multiple agents to share their learning experiences to get better learning efficacy. ... ... In accordance with this idea, ...
In general, FL is a ML algorithmic framework that allows multiple parties to perform ML under the requirements of privacy protection, data security, and ...
Mar 2, 2020 · We verify that the proposed scheme can expedite the learning process overall when the control policies are trained for the multiple devices.
Missing: Acceleration | Show results with:Acceleration
A publication catalog for research on Federated Reinforcement Learning (FRL). Overviews Chapter 9 of Federated Learning 12/19
Federated Reinforcement Learning in IoT: Applications, Opportunities and Open Challenges · Federated Reinforcement Learning Acceleration Method for Precise ...
In this paper, the authors have formulated an AV platooning problem and proposed new approaches for applying FRL to AV platoons: Inter-FRL and Intra-FRL.
Federated reinforcement learning acceleration method for precise control of multiple devices. HK Lim, JB Kim, I Ullah, JS Heo, YH Han. IEEE Access 9, 76296 ...