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An Optimal Control-Based Distributed Reinforcement Learning Framework for A Class of Non-Convex Objective Functionals of the Multi-Agent Network

Zhe Chen Ning Li

自动化学报（英文版）2023，Vol.10Issue(11)：2081-2093,13.

自动化学报（英文版）2023，Vol.10Issue(11)：2081-2093,13.DOI:10.1109/JAS.2022.105992

An Optimal Control-Based Distributed Reinforcement Learning Framework for A Class of Non-Convex Objective Functionals of the Multi-Agent Network

Zhe Chen ¹Ning Li²

作者信息

1. Department of Automation,Shanghai Jiao Tong University,Shanghai 200240||Key Laboratory of System Control and Information Processing,Ministry of Education of China,Shanghai 200240||Shanghai Engineering Research Center of Intelligent Control and Management,Shanghai 200240,China||Department of Automation,Tsinghua University,Beijing 100084,China
2. Department of Automation,Shanghai Jiao Tong University,Shanghai 200240||Key Laboratory of System Control and Information Processing,Ministry of Education of China,Shanghai 200240||Shanghai Engineering Research Center of Intelligent Control and Management,Shanghai 200240,China
折叠

摘要

关键词

Distributed optimization/multi-agent/optimal con-trol/reinforcement learning(RL)

Key words

Distributed optimization/multi-agent/optimal con-trol/reinforcement learning(RL)

引用本文复制引用

Zhe Chen,Ning Li..An Optimal Control-Based Distributed Reinforcement Learning Framework for A Class of Non-Convex Objective Functionals of the Multi-Agent Network[J].自动化学报（英文版）,2023,10(11):2081-2093,13.

基金项目

This work was supported in part by the National Natural Science Foundation of China(NSFC)(61773260)and the Ministry of Science and Technology(2018YFB 130590). （NSFC）

自动化学报（英文版）

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ISSN：2329-9266

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