{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T21:06:32Z","timestamp":1729631192667,"version":"3.28.0"},"reference-count":14,"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.2019.8848049","type":"proceedings-article","created":{"date-parts":[[2019,9,27]],"date-time":"2019-09-27T01:49:14Z","timestamp":1569548954000},"page":"1-4","source":"Crossref","is-referenced-by-count":1,"title":["Optimal Use of Experience in First Person Shooter Environments"],"prefix":"10.1109","author":[{"given":"Matthew","family":"Aitchison","sequence":"first","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1613\/jair.3912"},{"key":"ref11","first-page":"1928","article-title":"Asynchronous methods for deep reinforcement learning","author":"mnih","year":"2016","journal-title":"International Conference on Machine Learning"},{"article-title":"Prioritized Experience Replay","year":"2015","author":"schaul","key":"ref12"},{"article-title":"Sample Efficient ActorCritic with Experience Replay","year":"2016","author":"wang","key":"ref13"},{"article-title":"Learning to Act by Predicting the Future","year":"2016","author":"dosovitskiy","key":"ref14"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989385"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1126\/science.aar6404"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/BF00992699"},{"article-title":"The MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors","year":"2019","author":"guss","key":"ref5"},{"key":"ref8","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v31i1.10827","article-title":"Playing fps games with deep reinforcement learning","author":"lample","year":"2017","journal-title":"Thirty-First AAAI Conference on Artificial Intelligence"},{"article-title":"Deep Reinforcement Learning with Double Q-learning","year":"0","author":"van hasselt","key":"ref7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCIAIG.2013.2286295"},{"key":"ref1","doi-asserted-by":"crossref","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\/CIG.2016.7860433"}],"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\/08848049.pdf?arnumber=8848049","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,30]],"date-time":"2022-09-30T01:42:47Z","timestamp":1664502167000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8848049\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,8]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1109\/cig.2019.8848049","relation":{},"subject":[],"published":{"date-parts":[[2019,8]]}}}