{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T21:06:57Z","timestamp":1783976817578,"version":"3.55.0"},"reference-count":37,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"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":["IEEE Trans. Big Data"],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1109\/tbdata.2026.3688991","type":"journal-article","created":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T19:52:30Z","timestamp":1777492350000},"page":"1432-1448","source":"Crossref","is-referenced-by-count":0,"title":["A Multimodal Implicit Q-Learning Based Football Goalkeeper Performance Evaluating Model"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5829-6850","authenticated-orcid":false,"given":"Liang","family":"Zhao","sequence":"first","affiliation":[{"name":"School of Computer Science, Shenyang Aerospace University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-7172-6859","authenticated-orcid":false,"given":"Xin","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science, Shenyang Aerospace University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1069-3993","authenticated-orcid":false,"given":"Ammar","family":"Hawbani","sequence":"additional","affiliation":[{"name":"School of Computer Science, Shenyang Aerospace University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Chengpu","sequence":"additional","affiliation":[{"name":"Digital & IT Department, Chinese Football Association, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaochao","family":"Zhao","sequence":"additional","affiliation":[{"name":"Sports Department, Shenyang Aerospace University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0537-4522","authenticated-orcid":false,"given":"Zhi","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Computer and Network Engineering, The University of Electro-Communications, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1613\/jair.1.12505"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1080\/02640414.2024.2306449"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s40279-018-0977-2"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1080\/026404102317284826"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ISDFS60797.2024.10527307"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2023.123807"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-022-03631-z"},{"key":"ref8","first-page":"1","article-title":"A data driven goalkeeper evaluation framework","volume-title":"Proc. MIT Sloan Sports Analytics Conf.","author":"Yam","year":"2019"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA53316.2021.9564207"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TG.2022.3207068"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2024.3404061"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539138"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP51287.2024.10647396"},{"key":"ref14","first-page":"6291","article-title":"Exponentially weighted imitation learning for batched historical data","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Wang","year":"2018"},{"key":"ref15","article-title":"Reinforcement learning for football player decision making analysis","volume-title":"Proc. StatsBomb Conf.","author":"Pulis","year":"2022"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.fraope.2023.100034"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2496275"},{"key":"ref18","article-title":"Offline reinforcement learning with implicit q-learning","volume-title":"Proc. Deep RL Workshop NeurIPS","author":"Kostrikov","year":"2021"},{"key":"ref19","article-title":"Quantitative analysis of football goalkeeper positioning","author":"Gottini","year":"2023"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.4467\/21995923GP.20.002.12823"},{"issue":"315","key":"ref21","first-page":"1","article-title":"d3rlpy: An offline deep reinforcement learning library","volume":"23","author":"Seno","year":"2022","journal-title":"J. Mach. Learn. Res."},{"key":"ref22","first-page":"1","article-title":"Beyond expected goals","volume-title":"Proc. 12th MIT Sloan Sports Analytics Conf.","author":"Spearman","year":"2018"},{"key":"ref23","article-title":"Physics-based modeling of pass probabilities in soccer","volume-title":"Proc. 11th MIT Sloan Sports Analytics Conf.","volume":"1","author":"Spearman","year":"2017"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4842-6168-2_6"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIA.2021.3130852"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3144017"},{"key":"ref27","first-page":"1144","article-title":"GNN-FiLM: Graph neural networks with feature-wise linear modulation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Brockschmidt","year":"2020"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3162711"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/SMC53654.2022.9945320"},{"key":"ref31","article-title":"Expected threat","author":"Singh","year":"2019"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/648"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3390\/bdcc9030064"},{"key":"ref34","article-title":"Faster model predictive control via self-supervised initialization learning","author":"Li","year":"2024"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-024-05996-9"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-97-3385-9_12"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671687"}],"container-title":["IEEE Transactions on Big Data"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6687317\/11603878\/11500457.pdf?arnumber=11500457","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T20:06:21Z","timestamp":1783973181000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11500457\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":37,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tbdata.2026.3688991","relation":{},"ISSN":["2332-7790","2372-2096"],"issn-type":[{"value":"2332-7790","type":"electronic"},{"value":"2372-2096","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8]]}}}