A distributional perspective on value function factorization methods for multi-agent reinforcement learning

Wei Fang Sun; Cheng Kuang Lee; Chun Yi Lee

A distributional perspective on value function factorization methods for multi-agent reinforcement learning

Wei Fang Sun
, Cheng Kuang Lee
, Chun Yi Lee

電機工程學系(含學碩博士班及碩士在職專班)

National Tsing Hua University

研究成果: 圖書/報告稿件的類型 › 會議稿件 › 同行評審

5 引文斯高帕斯（Scopus）

摘要

Distributional reinforcement learning (RL) provides beneficial impacts for the single-agent domain. However, distributional RL methods are not directly compatible with value function factorization methods for multi-agent reinforcement learning. This work provides a distributional perspective on value function factorization, offering a solution for bridging the gap between distributional RL and value function factorization methods.

原文	英語
主出版物標題	20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021
發行者	International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
頁面	1659-1661
頁數	3
ISBN（電子）	9781713832621
出版狀態	已出版 - 2021
事件	20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021 - Virtual, Online 持續時間: 03 05 2021 → 07 05 2021

出版系列

名字	Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
卷	3
ISSN（列印）	1548-8403
ISSN（電子）	1558-2914

Conference

Conference	20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021
城市	Virtual, Online
期間	03/05/21 → 07/05/21

文獻附註

Publisher Copyright:
© 2021 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.

其它文件與鏈接

Link to publication in Scopus

引用此

Sun, W. F., Lee, C. K., & Lee, C. Y. (2021). A distributional perspective on value function factorization methods for multi-agent reinforcement learning. 於 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021 (頁 1659-1661). (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; 卷 3). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).

Sun, Wei Fang ; Lee, Cheng Kuang ; Lee, Chun Yi. / A distributional perspective on value function factorization methods for multi-agent reinforcement learning. 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2021. 頁 1659-1661 (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS).

@inproceedings{f0ce455ac4954ebea393b8b5101845d8,

title = "A distributional perspective on value function factorization methods for multi-agent reinforcement learning",

abstract = "Distributional reinforcement learning (RL) provides beneficial impacts for the single-agent domain. However, distributional RL methods are not directly compatible with value function factorization methods for multi-agent reinforcement learning. This work provides a distributional perspective on value function factorization, offering a solution for bridging the gap between distributional RL and value function factorization methods.",

keywords = "Distributional RL, Multi-Agent RL, Reinforcement Learning",

author = "Sun, \{Wei Fang\} and Lee, \{Cheng Kuang\} and Lee, \{Chun Yi\}",

note = "Publisher Copyright: {\textcopyright} 2021 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.; 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021 ; Conference date: 03-05-2021 Through 07-05-2021",

year = "2021",

language = "英语",

series = "Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS",

publisher = "International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)",

pages = "1659--1661",

booktitle = "20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021",

address = "美国",

}

Sun, WF, Lee, CK & Lee, CY 2021, A distributional perspective on value function factorization methods for multi-agent reinforcement learning. 於 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, 卷 3, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 頁 1659-1661, 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021, Virtual, Online, 03/05/21.

A distributional perspective on value function factorization methods for multi-agent reinforcement learning. / Sun, Wei Fang; Lee, Cheng Kuang; Lee, Chun Yi.
20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2021. p. 1659-1661 (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; 卷 3).

研究成果: 圖書/報告稿件的類型 › 會議稿件 › 同行評審

TY - GEN

T1 - A distributional perspective on value function factorization methods for multi-agent reinforcement learning

AU - Sun, Wei Fang

AU - Lee, Cheng Kuang

AU - Lee, Chun Yi

PY - 2021

Y1 - 2021

N2 - Distributional reinforcement learning (RL) provides beneficial impacts for the single-agent domain. However, distributional RL methods are not directly compatible with value function factorization methods for multi-agent reinforcement learning. This work provides a distributional perspective on value function factorization, offering a solution for bridging the gap between distributional RL and value function factorization methods.

AB - Distributional reinforcement learning (RL) provides beneficial impacts for the single-agent domain. However, distributional RL methods are not directly compatible with value function factorization methods for multi-agent reinforcement learning. This work provides a distributional perspective on value function factorization, offering a solution for bridging the gap between distributional RL and value function factorization methods.

KW - Distributional RL

KW - Multi-Agent RL

KW - Reinforcement Learning

UR - https://www.scopus.com/pages/publications/85112264098

M3 - 会议稿件

AN - SCOPUS:85112264098

T3 - Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS

SP - 1659

EP - 1661

BT - 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021

PB - International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)

T2 - 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021

Y2 - 3 May 2021 through 7 May 2021

ER -

Sun WF, Lee CK, Lee CY. A distributional perspective on value function factorization methods for multi-agent reinforcement learning. 於 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). 2021. p. 1659-1661. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS).

A distributional perspective on value function factorization methods for multi-agent reinforcement learning

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