{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T19:13:36Z","timestamp":1789672416073,"version":"4.0.1"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,8,5]],"date-time":"2024-08-05T00:00:00Z","timestamp":1722816000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,8,5]],"date-time":"2024-08-05T00:00:00Z","timestamp":1722816000000},"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":[[2024,8,5]]},"DOI":"10.1109\/cog60054.2024.10645633","type":"proceedings-article","created":{"date-parts":[[2024,8,28]],"date-time":"2024-08-28T18:44:09Z","timestamp":1724870649000},"page":"1-8","source":"Crossref","is-referenced-by-count":6,"title":["G-PCGRL: Procedural Graph Data Generation via Reinforcement Learning"],"prefix":"10.1109","author":[{"given":"Florian","family":"Rupp","sequence":"first","affiliation":[{"name":"University of Applied Sciences Mannheim,Department of Computer Science,Mannheim,Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kai","family":"Eckert","sequence":"additional","affiliation":[{"name":"University of Applied Sciences Mannheim,Department of Computer Science,Mannheim,Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1201\/9781315156422"},{"key":"ref2","article-title":"Fundamentals of Game Design","author":"Adams","year":"2014"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-02654-1_3"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCIAIG.2011.2148116"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/aiide.v16i1.7416"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1609\/aiide.v16i1.7401"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s11047-014-9418-9"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TG.2024.3399536"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-37192-9_29"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TG.2023.3238163"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CEC60901.2024.10612054"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3555858.3563271"},{"key":"ref13","article-title":"Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation","volume":"31","author":"You","year":"2018","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1186\/s13321-020-00458-z"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1039\/C9ME00039A"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3102071.3102079"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CoG47356.2020.9231526"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CEC48606.2020.9185631"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-96812-8"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-47148-x"},{"key":"ref21","volume-title":"Mojang. Mincraft. Mojang and Microsoft Studios","year":"2011"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TG.2018.2846639"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-05383-8"},{"key":"ref24","first-page":"54213","article-title":"MarioGPT: Open-Ended Text2Level Generation through Large Language Models","volume":"36","author":"Sudhakaran","year":"2023","journal-title":"NeurIPS"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-019-1724-z"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1126\/science.aar6404"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CoG52621.2021.9619053"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TG.2022.3175795"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CoG52621.2021.9619159"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CoG57401.2023.10333248"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3555858.3563273"},{"key":"ref32","article-title":"Proximal Policy Optimization Algorithms","author":"Schulman","year":"2017","journal-title":"arXiv:1707.06347"}],"event":{"name":"2024 IEEE Conference on Games (CoG)","location":"Milan, Italy","start":{"date-parts":[[2024,8,5]]},"end":{"date-parts":[[2024,8,8]]}},"container-title":["2024 IEEE Conference on Games (CoG)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10645493\/10645533\/10645633.pdf?arnumber=10645633","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,31]],"date-time":"2024-08-31T05:21:50Z","timestamp":1725081710000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10645633\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,5]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/cog60054.2024.10645633","relation":{},"subject":[],"published":{"date-parts":[[2024,8,5]]}}}