{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T13:06:52Z","timestamp":1730207212535,"version":"3.28.0"},"reference-count":20,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,8]]},"DOI":"10.1109\/cig.2018.8490369","type":"proceedings-article","created":{"date-parts":[[2018,10,15]],"date-time":"2018-10-15T23:37:41Z","timestamp":1539646661000},"page":"1-7","source":"Crossref","is-referenced-by-count":3,"title":["Learning Map-Independent Evaluation Functions for Real-Time Strategy Games"],"prefix":"10.1109","author":[{"given":"Zuozhi","family":"Yang","sequence":"first","affiliation":[]},{"given":"Santiago","family":"Ontanon","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"9","article-title":"Combining strategic learning with tactical search in real-time strategy games","author":"barriga","year":"2017","journal-title":"Proceedings of the Thirteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-17)"},{"key":"ref11","first-page":"1226","article-title":"Evolving a roving eye for go","author":"stanley","year":"2004","journal-title":"Genetic and Evolutionary Computation Conference"},{"key":"ref12","first-page":"3320","article-title":"How transferable are features in deep neural networks?","author":"yosinski","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref13","first-page":"40","article-title":"Uct for tactical assault planning in real-time strategy games","author":"balla","year":"2009","journal-title":"IJCAI"},{"key":"ref14","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref15","article-title":"Network in network","author":"lin","year":"2013","journal-title":"arXiv preprint arXiv 1312 4400"},{"key":"ref16","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","author":"glorot","year":"2010","journal-title":"Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics"},{"key":"ref17","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv preprint arXiv 1412 6980"},{"key":"ref18","first-page":"86","article-title":"Using lanchester attrition laws for combat prediction in starcraft","author":"stanescu","year":"0","journal-title":"Eleventh Annual AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE)"},{"key":"ref19","first-page":"66","article-title":"Heuristic search applied to abstract combat games","author":"kovarsky","year":"2005","journal-title":"Conference of the Canadian Society for Computational Studies of Intelligence"},{"key":"ref4","article-title":"Torchcraft: a library for machine learning research on real-time strategy games","author":"synnaeve","year":"2016","journal-title":"arXiv preprint arXiv 1611 00625"},{"key":"ref3","article-title":"The combinatorial multi-armed bandit problem and its application to real-time strategy games","author":"onta\u00f1\u00f3n","year":"2013","journal-title":"Artificial Intelligence for Interactive Digital Entertainment Conference"},{"key":"ref6","article-title":"Elf: An extensive, lightweight and flexible research platform for real-time strategy games","author":"tian","year":"2017","journal-title":"Advances in Neural Information Processing Systems (NIPS)"},{"key":"ref5","article-title":"StarCraft II: a new challenge for reinforcement learning","author":"vinyals","year":"2017","journal-title":"arXiv preprint arXiv 1708 04782"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1613\/jair.5398"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCIAIG.2012.2186810"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CIG.2016.7860439"},{"key":"ref1","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":"ref9","article-title":"Deep learning for reward design to improve monte carlo tree search in atari games","author":"guo","year":"2016","journal-title":"IJCAI"},{"key":"ref20","first-page":"60","article-title":"Parallel monte-carlo tree search","author":"chaslot","year":"2008","journal-title":"Int Conf Comput Des"}],"event":{"name":"2018 IEEE Conference on Computational Intelligence and Games (CIG)","start":{"date-parts":[[2018,8,14]]},"location":"Maastricht","end":{"date-parts":[[2018,8,17]]}},"container-title":["2018 IEEE Conference on Computational Intelligence and Games (CIG)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8473398\/8490359\/08490369.pdf?arnumber=8490369","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T11:57:42Z","timestamp":1643198262000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8490369\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/cig.2018.8490369","relation":{},"subject":[],"published":{"date-parts":[[2018,8]]}}}