{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T11:13:34Z","timestamp":1730200414710,"version":"3.28.0"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,12,15]],"date-time":"2023-12-15T00:00:00Z","timestamp":1702598400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,15]],"date-time":"2023-12-15T00:00:00Z","timestamp":1702598400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,12,15]]},"DOI":"10.1109\/bigdata59044.2023.10386781","type":"proceedings-article","created":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T13:28:47Z","timestamp":1705930127000},"page":"1194-1199","source":"Crossref","is-referenced-by-count":0,"title":["VHGN: Cooperative Multiagent Reinforcement Learning with Historical Information Graph"],"prefix":"10.1109","author":[{"given":"Jiahao","family":"Liu","sequence":"first","affiliation":[{"name":"Southwest University,School of Computer and Information Science,Chongqing,China"}]},{"given":"Jiale","family":"Xu","sequence":"additional","affiliation":[{"name":"Southwest University,School of Computer and Information Science,Chongqing,China"}]},{"given":"Haijia","family":"Bao","sequence":"additional","affiliation":[{"name":"Southwest University,School of Computer and Information Science,Chongqing,China"}]},{"given":"Ya","family":"Li","sequence":"additional","affiliation":[{"name":"Southwest University,School of Computer and Information Science,Chongqing,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2022.03.013"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2935201"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3115240"},{"key":"ref4","first-page":"4596","article-title":"Randomized entity-wise factorization for multi-agent reinforcement learning","volume-title":"International Conference on Machine Learning","author":"Iqbal"},{"key":"ref5","article-title":"Multi-agent actor-critic for mixed cooperative-competitive environments","volume":"30","author":"Lowe","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-022-04105-y"},{"key":"ref7","first-page":"10199","article-title":"Weighted qmix: Expanding monotonic value function factorisation for deep multi-agent reinforcement learning","volume":"33","author":"Rashid","year":"2020","journal-title":"Advances in neural information processing systems"},{"issue":"1","key":"ref8","first-page":"7234","article-title":"Monotonic value function factorisation for deep multiagent reinforcement learning","volume":"21","author":"Rashid","year":"2020","journal-title":"The Journal of Machine Learning Research"},{"key":"ref9","article-title":"The starcraft multi-agent challenge","author":"Samvelyan","year":"2019","journal-title":"arXiv preprint arXiv: 1902.04043"},{"key":"ref10","first-page":"5887","article-title":"Qtran: Learning to factorize with transformation for cooperative multi-agent reinforcement learning","volume-title":"International conference on machine learning","author":"Son"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2996209"},{"key":"ref12","article-title":"Value-decomposition networks for cooperative multi-agent learning","author":"Sunehag","year":"2017","journal-title":"arXiv preprint arXiv:1706.05296"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-307-3.50049-6"},{"key":"ref14","article-title":"Attention is all you need","volume":"30","author":"Vaswani","year":"2017","journal-title":"Advances in neural information processing systems"},{"issue":"20","key":"ref15","first-page":"10","article-title":"Graph attention networks","volume":"1050","author":"Velickovic","year":"2017","journal-title":"stat"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-019-1724-z"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2018.2867161"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3172572"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2021.3087452"},{"key":"ref20","article-title":"Qatten: A general framework for cooperative multiagent reinforcement learning","author":"Yang","year":"2020","journal-title":"arXiv preprint arXiv:2002.03939"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2403394"},{"key":"ref22","article-title":"Integrating independent and centralized multi-agent reinforcement learning for traffic signal network optimization","author":"Zhang","year":"2019","journal-title":"arXiv preprint arXiv:1909.10651"}],"event":{"name":"2023 IEEE International Conference on Big Data (BigData)","start":{"date-parts":[[2023,12,15]]},"location":"Sorrento, Italy","end":{"date-parts":[[2023,12,18]]}},"container-title":["2023 IEEE International Conference on Big Data (BigData)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10385234\/10386078\/10386781.pdf?arnumber=10386781","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,23]],"date-time":"2024-01-23T13:14:02Z","timestamp":1706015642000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10386781\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,15]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/bigdata59044.2023.10386781","relation":{},"subject":[],"published":{"date-parts":[[2023,12,15]]}}}