{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T12:28:35Z","timestamp":1730204915476,"version":"3.28.0"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,12,13]],"date-time":"2023-12-13T00:00:00Z","timestamp":1702425600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,13]],"date-time":"2023-12-13T00:00:00Z","timestamp":1702425600000},"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":[[2023,12,13]]},"DOI":"10.1109\/cdc49753.2023.10383302","type":"proceedings-article","created":{"date-parts":[[2024,1,19]],"date-time":"2024-01-19T13:38:36Z","timestamp":1705671516000},"page":"2141-2146","source":"Crossref","is-referenced-by-count":0,"title":["Optimizing Field-of-View for Multi-Agent Path Finding via Reinforcement Learning: A Performance and Communication Overhead Study"],"prefix":"10.1109","author":[{"given":"Hoi Chuen","family":"Cheng","sequence":"first","affiliation":[{"name":"The Hong Kong University of Science and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ling","family":"Shi","sequence":"additional","affiliation":[{"name":"The Hong Kong University of Science and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"C. Patrick","family":"Yue","sequence":"additional","affiliation":[{"name":"The Hong Kong University of Science and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Coordinating Hundreds of Cooperative, Autonomous Vehicles in Warehouses","author":"Wurman","year":"2007","journal-title":"The AI Magazine"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1609\/socs.v10i1.18510"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2014.11.006"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.5220\/0010845200003116"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/socs.v5i1.18315"},{"key":"ref6","first-page":"810","article-title":"Efficient sat approach to multi-agent path finding under the sum of costs objective","volume-title":"Proc. European Conference on Artificial Intelligence (ECAI)","author":"Surynek","year":"2016"},{"volume-title":"Algorithms","year":"2006","author":"La","key":"ref7"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-19457-3_1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2002.1014852"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2018.2853613"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8593871"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8202312"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2013.6631119"},{"key":"ref14","first-page":"22069","article-title":"Learning individually inferred commu-nication for multi-agent cooperation","author":"Ding","year":"2020","journal-title":"Advances in Neural Information Processing Systems (NeurIPS)"},{"key":"ref15","first-page":"1538","article-title":"Tarmac: Targeted multi-agent communication","author":"Das","year":"2019","journal-title":"International Con-ference on Machine Learning (ICML)"},{"key":"ref16","article-title":"Learning to Communicate with Deep Multi-Agent Reinforcement Learning","volume":"29","author":"Foerster","year":"2016","journal-title":"Advances in Neural Information Processing Systems (NeurIPS)"},{"key":"ref17","article-title":"Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control","volume":"32","author":"Zhang","year":"2019","journal-title":"Advances in Neural Information Processing Systems (NeurIPS)"},{"key":"ref18","first-page":"1995","article-title":"Dueling network architectures for deep reinforcement learning","volume-title":"International Conference on Machine Learning (ICML)","author":"Wang","year":"2016"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2903261"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3062803"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341668"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3077863"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2994035"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9340876"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9560748"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3139145"},{"key":"ref27","first-page":"22069","article-title":"Learning individually inferred commu-nication for multi-agent cooperation","volume":"33","author":"Ding","year":"2020","journal-title":"Advances in Neural Information Processing Systems (NeurIPS)"}],"event":{"name":"2023 62nd IEEE Conference on Decision and Control (CDC)","start":{"date-parts":[[2023,12,13]]},"location":"Singapore, Singapore","end":{"date-parts":[[2023,12,15]]}},"container-title":["2023 62nd IEEE Conference on Decision and Control (CDC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10383192\/10383193\/10383302.pdf?arnumber=10383302","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,23]],"date-time":"2024-01-23T11:22:34Z","timestamp":1706008954000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10383302\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,13]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/cdc49753.2023.10383302","relation":{},"subject":[],"published":{"date-parts":[[2023,12,13]]}}}