{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,27]],"date-time":"2025-06-27T08:44:32Z","timestamp":1751013872876,"version":"3.28.0"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,8,1]],"date-time":"2019-08-01T00:00:00Z","timestamp":1564617600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,8,1]],"date-time":"2019-08-01T00:00:00Z","timestamp":1564617600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,8,1]],"date-time":"2019-08-01T00:00:00Z","timestamp":1564617600000},"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":[[2019,8]]},"DOI":"10.1109\/cig.2019.8848125","type":"proceedings-article","created":{"date-parts":[[2019,9,27]],"date-time":"2019-09-27T01:49:14Z","timestamp":1569548954000},"page":"1-8","source":"Crossref","is-referenced-by-count":7,"title":["Learning Policies from Human Data for Skat"],"prefix":"10.1109","author":[{"given":"Douglas","family":"Rebstock","sequence":"first","affiliation":[]},{"given":"Christopher","family":"Solinas","sequence":"additional","affiliation":[]},{"given":"Michael","family":"Buro","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CIG.2013.6633646"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCIAIG.2012.2200894"},{"key":"ref12","first-page":"126","article-title":"From simple features to sophisticated evaluation functions","author":"buro","year":"1998","journal-title":"Int Conf Comput Games"},{"journal-title":"Improving search with supervised learning in trick-based card games","year":"2019","author":"solinas","key":"ref13"},{"year":"2018","key":"ref14","article-title":"DOSKV: Deutcher Online Skatverband"},{"key":"ref15","first-page":"807","article-title":"Rectified linear units improve restricted boltzmann machines","author":"nair","year":"2010","journal-title":"Proceedings of the 27th International Conference on Machine Learning (ICML-10)"},{"key":"ref16","first-page":"265","article-title":"Tensorflow: a system for largescale machine learning","volume":"16","author":"abadi","year":"2016","journal-title":"OSDI"},{"article-title":"Adam: A method for stochastic optimization","year":"2014","author":"kingma","key":"ref17"},{"key":"ref18","first-page":"1929","article-title":"Dropout: a simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"The Journal of Machine Learning Research"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(98)00010-0"},{"key":"ref4","first-page":"1407","article-title":"Improving state evaluation, inference, and search in trick-based card games","author":"buro","year":"2009","journal-title":"IJCAI"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1126\/science.aao1733"},{"journal-title":"Artificial Intelligence A Modern Approach","year":"2016","author":"russell","key":"ref6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(97)00082-9"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1613\/jair.820"},{"key":"ref7","article-title":"The million pound Bridge program","author":"levy","year":"1989","journal-title":"Heuristic Programming in Artificial Intelligence"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1126\/science.aam6960"},{"key":"ref1","first-page":"1729","article-title":"Regret minimization in games with incomplete information","author":"zinkevich","year":"2008","journal-title":"Advances in neural information processing systems"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3233\/ICG-2008-31402"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"484","DOI":"10.1038\/nature16961","article-title":"Mastering the game of Go with deep neural networks and tree search","volume":"529","author":"silver","year":"2016","journal-title":"Nature"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"354","DOI":"10.1038\/nature24270","article-title":"Mastering the game of Go without human knowledge","volume":"550","author":"silver","year":"2017","journal-title":"Nature"},{"key":"ref21","first-page":"3426","article-title":"Actor-critic policy optimization in partially observable multiagent environments","author":"srinivasan","year":"2018","journal-title":"Advances in neural information processing systems"}],"event":{"name":"2019 IEEE Conference on Games (CoG)","start":{"date-parts":[[2019,8,20]]},"location":"London, United Kingdom","end":{"date-parts":[[2019,8,23]]}},"container-title":["2019 IEEE Conference on Games (CoG)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8844551\/8847948\/08848125.pdf?arnumber=8848125","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T14:50:50Z","timestamp":1658155850000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8848125\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,8]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/cig.2019.8848125","relation":{},"subject":[],"published":{"date-parts":[[2019,8]]}}}