{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T09:31:05Z","timestamp":1762507865220,"version":"3.28.0"},"reference-count":25,"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.2019.8848103","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":1,"title":["<sub>1<\/sub>GBDT, LR &amp; Deep Learning for Turn-based Strategy Game AI"],"prefix":"10.1109","author":[{"given":"Like","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Hui","family":"Pan","sequence":"additional","affiliation":[]},{"given":"Qi","family":"Fan","sequence":"additional","affiliation":[]},{"given":"Changqing","family":"Ai","sequence":"additional","affiliation":[]},{"given":"Yanqing","family":"Jing","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","article-title":"Simon Dolle? Criteo Research, Offline A\/B testing for Recommender Systems","author":"gilotte","year":"2018","journal-title":"arXiv 1801 07030v1"},{"key":"ref11","first-page":"2121","article-title":"Adaptive subgradient methods for online learning and stochastic optimization","volume":"12","author":"duchi","year":"2011","journal-title":"Journal of Machine Learning Research"},{"journal-title":"TensorFlow Large-Scale Machine Learning on Heterogeneous Systems","year":"2015","author":"abadi","key":"ref12"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2365952.2365958"},{"key":"ref14","first-page":"303","article-title":"Approximation by superpositions of a sigmoidal function","volume":"2","author":"cybenko","year":"0"},{"article-title":"Neural networks and deep learning","year":"2015","author":"nielsen","key":"ref15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s11063-007-9070-9"},{"key":"ref17","article-title":"Entity Embeddings of Categorical Variables","author":"guo","year":"2016","journal-title":"arXiv 1604 06737"},{"key":"ref18","first-page":"1329","article-title":"Benchmarking deep reinforcement learning for continuous control","author":"duan","year":"2016","journal-title":"International Conference on Machine Learning"},{"key":"ref19","article-title":"Playing Atari with Deep Reinforcement Learning","author":"mnih","year":"2013","journal-title":"DeepMind Lab arXiv 1312 5602"},{"key":"ref4","article-title":"Distributed Representations of Words and Phrases and their Compositionality","author":"mikolov","year":"2013","journal-title":"arXiv 1310 4546"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988454"},{"journal-title":"Practical Lessons from Predicting Clicks on Ads at Facebook","year":"0","author":"he","key":"ref6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959190"},{"key":"ref8","article-title":"Gradient Boosted Decision Trees for High Dimensional Sparse Output","author":"si","year":"2017","journal-title":"Proceedings of the 34th International Conference on Machine Learning"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/GCCE.2015.7398624"},{"key":"ref2","article-title":"StarCraft II: A New Challenge for Reinforcement Learning","author":"vinyals","year":"2017","journal-title":"DeepMind Lab arXiv 1708 04782"},{"journal-title":"The StoneAge2","year":"0","key":"ref1"},{"key":"ref9","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"CoRR abs\/1502 03167"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3001773.3001797"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/2.933506"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/GCCE.2016.7800536"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-377-6.50013-X"},{"key":"ref23","first-page":"51","article-title":"Rts games and real-time ai research","author":"buro","year":"2004","journal-title":"Proc Behavior Representation Model Simul Conf"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1613\/jair.3912"}],"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\/08848103.pdf?arnumber=8848103","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T14:50:49Z","timestamp":1658155849000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8848103\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,8]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/cig.2019.8848103","relation":{},"subject":[],"published":{"date-parts":[[2019,8]]}}}