{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,6]],"date-time":"2026-02-06T05:42:48Z","timestamp":1770356568939,"version":"3.49.0"},"reference-count":25,"publisher":"IEEE","license":[{"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.2019.8848061","type":"proceedings-article","created":{"date-parts":[[2019,9,26]],"date-time":"2019-09-26T21:49:14Z","timestamp":1569534554000},"page":"1-8","source":"Crossref","is-referenced-by-count":6,"title":["Deep Reinforcement Learning to train agents in a multiplayer First Person Shooter: some preliminary results"],"prefix":"10.1109","author":[{"given":"Daniele","family":"Piergigli","sequence":"first","affiliation":[{"name":"Dept. of Computer Science, University of Milan, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laura Anna","family":"Ripamonti","sequence":"additional","affiliation":[{"name":"Dept. of Computer Science, University of Milan, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dario","family":"Maggiorini","sequence":"additional","affiliation":[{"name":"Dept. of Computer Science, University of Milan, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Davide","family":"Gadia","sequence":"additional","affiliation":[{"name":"Dept. of Computer Science, University of Milan, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1147\/rd.33.0210"},{"key":"ref11","article-title":"Improving Hearthstone AI by Combining MCTS and Supervised Learning Algorithms","author":"?wiechowski","year":"0","journal-title":"2018 IEEE Conference on Computational Intelligence and Games (CIG)"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CIG.2018.8490369"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CIG.2018.8490442"},{"key":"ref14","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":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CIG.2018.8490398"},{"key":"ref16","article-title":"Exploration from Demonstration for Interactive Reinforcement Learning","author":"subramanian","year":"2016","journal-title":"AAMAS"},{"key":"ref17","article-title":"Learning Highlevel Representations from Demonstrations","author":"andersen","year":"2018","journal-title":"CoRR"},{"key":"ref18","article-title":"Proximal policy optimization algorithms","author":"schulman","year":"2017"},{"key":"ref19","author":"mcguire","year":"2009","journal-title":"Creating Games Mechanics Content and Technology"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3125571.3125592"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CIG.2018.8490425"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.7551\/978-0-262-31709-2-ch084"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-016-3636-3"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CIG.2018.8490417"},{"key":"ref7","article-title":"Monsters of Darwin: A strategic game based on artificial intelligence and genetic algorithms","author":"norton","year":"2017","journal-title":"Proceedings of the 1st Workshop on Games-Human Interaction (GHITALY 2017) co-located with CHItaly 2017 the 12th Edition of the biannual Conference of the Italian ACM SIGCHI Chapter"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2212908.2212954"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ISCC.2017.8024497"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1201\/b13169"},{"key":"ref20","first-page":"1889","article-title":"Trust region policy optimization","author":"schulman","year":"2015","journal-title":"International Conference on Machine Learning"},{"key":"ref22","article-title":"Swish: a self-gated activation function","author":"ramachandran","year":"2017"},{"key":"ref21","article-title":"Fast and accurate deep network learning by exponential linear units (elus)","author":"clevert","year":"2016","journal-title":"International Conference in Learning Representations 2016"},{"key":"ref24","first-page":"2140","article-title":"Playing fps games with deep reinforcement learning","author":"lample","year":"2017","journal-title":"AAAI"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2855970"}],"event":{"name":"2019 IEEE Conference on Games (CoG)","location":"London, UK","start":{"date-parts":[[2019,8,20]]},"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\/08848061.pdf?arnumber=8848061","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,28]],"date-time":"2025-07-28T19:36:00Z","timestamp":1753731360000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8848061\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,8]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/cig.2019.8848061","relation":{},"subject":[],"published":{"date-parts":[[2019,8]]}}}