{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,18]],"date-time":"2026-01-18T09:40:30Z","timestamp":1768729230084,"version":"3.49.0"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,10,10]],"date-time":"2023-10-10T00:00:00Z","timestamp":1696896000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,10]],"date-time":"2023-10-10T00:00:00Z","timestamp":1696896000000},"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":[[2023,10,10]]},"DOI":"10.1109\/vtc2023-fall60731.2023.10333800","type":"proceedings-article","created":{"date-parts":[[2023,12,11]],"date-time":"2023-12-11T14:37:48Z","timestamp":1702305468000},"page":"1-7","source":"Crossref","is-referenced-by-count":1,"title":["Deep Reinforcement Learning for Image-Based Multi-Agent Coverage Path Planning"],"prefix":"10.1109","author":[{"given":"Meng","family":"Xu","sequence":"first","affiliation":[{"name":"City University of Hong Kong,Department of Computer Science,Hong Kong,China"}]},{"given":"Yechao","family":"She","sequence":"additional","affiliation":[{"name":"City University of Hong Kong,Department of Computer Science,Hong Kong,China"}]},{"given":"Yang","family":"Jin","sequence":"additional","affiliation":[{"name":"City University of Hong Kong,Department of Computer Science,Hong Kong,China"}]},{"given":"Jianping","family":"Wang","sequence":"additional","affiliation":[{"name":"City University of Hong Kong,Department of Computer Science,Hong Kong,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICFTIC54370.2021.9647298"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/OJCOMS.2021.3081996"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2022.108089"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2022.3150098"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/INDICON56171.2022.10039853"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/tsmc.2022.3184155"},{"key":"ref7","volume-title":"Path Planning of Wafer Probe with Sparsely Scattering Chips based on Reinforcement Learning with an Attention Mechanism","author":"Hsu","year":"2019"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TEST.2011.6139143"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN52387.2021.9534363"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/8909458"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.physd.2019.132306"},{"key":"ref12","article-title":"A visual communication map for multi-agent deep reinforcement learning","author":"Nguyen","year":"2020"},{"key":"ref13","first-page":"1928","article-title":"Asynchronous methods for deep reinforcement learning","volume-title":"International conference on machine learning","author":"Mnih"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICUS48101.2019.8995991"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCES54031.2021.9686104"},{"key":"ref16","article-title":"Reinforcement learning-based coverage path planning with implicit cellular decomposition","author":"Heydari","year":"2021"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CDC42340.2020.9304030"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2020.103078"},{"key":"ref19","first-page":"1407","article-title":"Impala: Scalable distributed deep-rl with importance weighted actor-learner architectures","volume-title":"International conference on machine learning","author":"Espeholt"}],"event":{"name":"2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall)","location":"Hong Kong, Hong Kong","start":{"date-parts":[[2023,10,10]]},"end":{"date-parts":[[2023,10,13]]}},"container-title":["2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10333258\/10333344\/10333800.pdf?arnumber=10333800","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,19]],"date-time":"2023-12-19T16:46:03Z","timestamp":1703004363000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10333800\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,10]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/vtc2023-fall60731.2023.10333800","relation":{},"subject":[],"published":{"date-parts":[[2023,10,10]]}}}