{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T14:02:14Z","timestamp":1760709734619,"version":"3.28.0"},"reference-count":11,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,8]]},"DOI":"10.1109\/cig.2018.8490437","type":"proceedings-article","created":{"date-parts":[[2018,10,16]],"date-time":"2018-10-16T03:37:41Z","timestamp":1539661061000},"page":"1-4","source":"Crossref","is-referenced-by-count":13,"title":["Applying Hybrid Reward Architecture to a Fighting Game AI"],"prefix":"10.1109","author":[{"given":"Yoshina","family":"Takano","sequence":"first","affiliation":[]},{"given":"Wenwen","family":"Ouyang","sequence":"additional","affiliation":[]},{"given":"Suguru","family":"Ito","sequence":"additional","affiliation":[]},{"given":"Tomohiro","family":"Harada","sequence":"additional","affiliation":[]},{"given":"Ruck","family":"Thawonmas","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CIG.2017.8080451"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CIG.2017.8080430"},{"key":"ref10","doi-asserted-by":"crossref","DOI":"10.1109\/CIG.2018.8490367","article-title":"Monte-Carlo Tree Search Implementation of Fighting Game AIs with Personas","author":"ishii","year":"2018","journal-title":"Proc Computational Intelligence and Games (CIG) 2018 IEEE Conference on"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/GCCE.2013.6664844"},{"key":"ref11","doi-asserted-by":"crossref","DOI":"10.1109\/CIG.2018.8490376","article-title":"Monte-Carlo Tree Search for Implementation of Dynamic Difficulty Adjustment Fighting Game AIs Having Believable Behaviors","author":"ishihara","year":"2018","journal-title":"Proc Computational Intelligence and Games (CIG) 2018 IEEE Conference on"},{"journal-title":"Supervised and Reinforcement Learning for Fighting Game AIs using Deep Convolutional Neural Network in Master Thesis Japan Advanced Institute of Science and Technology","year":"2017","author":"nguyen","key":"ref5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CIG.2017.8080415"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3001773.3001797"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1038\/nature14236","article-title":"Human-level control through deep reinforcement learning","volume":"518","author":"mnih","year":"2015","journal-title":"Nature"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CEEC.2017.8101623"},{"key":"ref1","first-page":"5392","article-title":"Hybrid reward architecture for reinforcement learning","author":"van seijen","year":"2017","journal-title":"Proc Advances in Neural Information Processing Systems"}],"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\/08490437.pdf?arnumber=8490437","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T20:30:59Z","timestamp":1643229059000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8490437\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8]]},"references-count":11,"URL":"https:\/\/doi.org\/10.1109\/cig.2018.8490437","relation":{},"subject":[],"published":{"date-parts":[[2018,8]]}}}