{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:20:44Z","timestamp":1750220444445,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":13,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,1,28]],"date-time":"2021-01-28T00:00:00Z","timestamp":1611792000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,1,28]]},"DOI":"10.1145\/3448734.3450782","type":"proceedings-article","created":{"date-parts":[[2021,5,17]],"date-time":"2021-05-17T15:47:36Z","timestamp":1621266456000},"page":"1-5","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["MADDPG-based Task Offloading and Resource Management for Edge System"],"prefix":"10.1145","author":[{"given":"Haojie","family":"Lin","sequence":"first","affiliation":[{"name":"University of Electronic Science and Technology of China"}]},{"given":"Wenjing","family":"Hou","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China"}]},{"given":"Hong","family":"Wen","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China"}]},{"given":"Wenxin","family":"Lei","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China"}]},{"given":"Sihui","family":"Wu","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China"}]},{"given":"Zhiwei","family":"Chen","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China"}]}],"member":"320","published-online":{"date-parts":[[2021,5,17]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/mwc.001.1900184"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.1900184"},{"key":"e_1_3_2_1_3_1","volume-title":"A Cybertwin based Network Architecture for 6G[C]\/\/2020 2nd 6G Wireless Summit (6G SUMMIT)","author":"Yu Q","year":"2020","unstructured":"Yu Q , Ren J , Zhou H , A Cybertwin based Network Architecture for 6G[C]\/\/2020 2nd 6G Wireless Summit (6G SUMMIT) . IEEE , 2020 : 1-5. Yu Q, Ren J, Zhou H, A Cybertwin based Network Architecture for 6G[C]\/\/2020 2nd 6G Wireless Summit (6G SUMMIT). IEEE, 2020: 1-5."},{"key":"#cr-split#-e_1_3_2_1_4_1.1","doi-asserted-by":"crossref","unstructured":"T. Yang\u00a0et al. \"Two-Stage Offloading Optimization for Energy-Latency Tradeoff With Mobile Edge Computing in Maritime Internet of Things \" in\u00a0IEEE Internet of Things Journal vol. 7 no. 7 pp. 5954-5963 July 2020 doi: 10.1109\/JIOT.2019.2958662. 10.1109\/JIOT.2019.2958662","DOI":"10.1109\/JIOT.2019.2958662"},{"key":"#cr-split#-e_1_3_2_1_4_1.2","doi-asserted-by":"crossref","unstructured":"T. Yang\u00a0et al. \"Two-Stage Offloading Optimization for Energy-Latency Tradeoff With Mobile Edge Computing in Maritime Internet of Things \" in\u00a0IEEE Internet of Things Journal vol. 7 no. 7 pp. 5954-5963 July 2020 doi: 10.1109\/JIOT.2019.2958662.","DOI":"10.1109\/JIOT.2019.2958662"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"X. Chen and G. Liu \"Energy-Efficient Task Offloading and Resource Allocation via Deep Reinforcement Learning for Augmented Reality in Mobile Edge Networks \" in IEEE Internet of Things Journal doi: 10.1109\/JIOT.2021.3050804.    10.1109\/JIOT.2021.3050804\nX. Chen and G. Liu \"Energy-Efficient Task Offloading and Resource Allocation via Deep Reinforcement Learning for Augmented Reality in Mobile Edge Networks \" in IEEE Internet of Things Journal doi: 10.1109\/JIOT.2021.3050804.","DOI":"10.1109\/JIOT.2021.3050804"},{"key":"e_1_3_2_1_6_1","first-page":"202573","article-title":"Optimization of Task Offloading Strategy for Mobile Edge Computing Based on Multi-Agent Deep Reinforcement Learning","volume":"8","author":"Lu C.","year":"2020","unstructured":"H. Lu , C. Gu , F. Luo , W. Ding , S. Zheng and Y. Shen , \" Optimization of Task Offloading Strategy for Mobile Edge Computing Based on Multi-Agent Deep Reinforcement Learning ,\" in IEEE , vol. 8 , pp. 202573 - 202584 , 2020 , doi: 10.1109\/ACCESS.2020.3036416. 10.1109\/ACCESS.2020.3036416 H. Lu, C. Gu, F. Luo, W. Ding, S. Zheng and Y. Shen, \"Optimization of Task Offloading Strategy for Mobile Edge Computing Based on Multi-Agent Deep Reinforcement Learning,\" in IEEE, vol. 8, pp. 202573-202584, 2020, doi: 10.1109\/ACCESS.2020.3036416.","journal-title":"IEEE"},{"volume-title":"ICNISC2020","author":"Lei A.","key":"e_1_3_2_1_7_1","unstructured":"W. Lei , A. Xu , H. Lin , W. Hou , Y. Zhang , Y. Jiang , Z. Mao and Wen H. Wen. On-line Detection of Malicious Activities Based on Edge Computing in Micro-grid System , ICNISC2020 . W. Lei, A. Xu, H. Lin, W. Hou, Y. Zhang, Y. Jiang, Z. Mao and Wen H. Wen. On-line Detection of Malicious Activities Based on Edge Computing in Micro-grid System, ICNISC2020."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12083-019-00870-9"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2013.120113.121646"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCChina.2013.6671166"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2016.2644664"},{"key":"e_1_3_2_1_12_1","first-page":"49","article-title":"Throughput Enhancement for Wireless Sensor Network Based on Network Allocation Vector Caching Algorithms","volume":"2018","author":"Baofeng Ji","unstructured":"Baofeng Ji , Lifan Sun, Chunguo Li , Congzheng Han, Hong Wen . Throughput Enhancement for Wireless Sensor Network Based on Network Allocation Vector Caching Algorithms . Ad Hoc & Sensor Wireless Networks 2018 ,40(1): 49 - 72 . Baofeng Ji, Lifan Sun, Chunguo Li, Congzheng Han, Hong Wen. Throughput Enhancement for Wireless Sensor Network Based on Network Allocation Vector Caching Algorithms. Ad Hoc & Sensor Wireless Networks 2018,40(1):49-72.","journal-title":"Ad Hoc & Sensor Wireless Networks"}],"event":{"name":"CONF-CDS 2021: The 2nd International Conference on Computing and Data Science","acronym":"CONF-CDS 2021","location":"Stanford CA USA"},"container-title":["The 2nd International Conference on Computing and Data Science"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3448734.3450782","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3448734.3450782","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:47:38Z","timestamp":1750193258000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3448734.3450782"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,28]]},"references-count":13,"alternative-id":["10.1145\/3448734.3450782","10.1145\/3448734"],"URL":"https:\/\/doi.org\/10.1145\/3448734.3450782","relation":{},"subject":[],"published":{"date-parts":[[2021,1,28]]},"assertion":[{"value":"2021-05-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}