Multi-Agent Deep Reinforcement Learning for Weighted Multi-Path Routing-Reference-Cited by-同舟云学术

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Multi-Agent Deep Reinforcement Learning for Weighted Multi-Path Routing

Published:2023-08-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 3rd Workshop on Flexible Resource and Application Management on the Edge
language:
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Author:

Theodoropoulos Theodoros¹^ORCID,Kafetzis Dimitrios¹^ORCID,Violos John¹^ORCID,Makris Antonios¹^ORCID,Tserpes Konstantinos¹^ORCID

Affiliation:

1. Harokopio University of Athens, Athens, Greece

Funder

Horizon 2020

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589010.3594888

Reference24 articles.

1. A Privacy-Preserving Reinforcement Learning Algorithm for Multi-Domain Virtual Network Embedding

2. Multipath-routing based load-balancing in SDN networks

3. Multiagent Meta-Reinforcement Learning for Adaptive Multipath Routing Optimization

4. Kai-Cheng Chiu , Chien-Chang Liu , and Li-Der Chou . 2022. Reinforcement Learning-Based Service-Oriented Dynamic Multipath Routing in SDN. Wireless Communications and Mobile Computing 2022 (Jan . 2022 ), 1--16. https://doi.org/ 10.1155/2022/1330993 10.1155/2022 Kai-Cheng Chiu, Chien-Chang Liu, and Li-Der Chou. 2022. Reinforcement Learning-Based Service-Oriented Dynamic Multipath Routing in SDN. Wireless Communications and Mobile Computing 2022 (Jan. 2022), 1--16. https://doi.org/ 10.1155/2022/1330993

5. Analysis of multi-path routing

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