{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T19:06:39Z","timestamp":1776107199949,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":51,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,4,15]],"date-time":"2025-04-15T00:00:00Z","timestamp":1744675200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,4,15]]},"DOI":"10.1145\/3723498.3723820","type":"proceedings-article","created":{"date-parts":[[2025,5,9]],"date-time":"2025-05-09T12:04:41Z","timestamp":1746792281000},"page":"1-9","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Analysis of Robustness of a Large Game Corpus"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-0022-9611","authenticated-orcid":false,"given":"Mahsa","family":"Bazzaz","sequence":"first","affiliation":[{"name":"Northeastern University, Boston, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4504-0877","authenticated-orcid":false,"given":"Seth","family":"Cooper","sequence":"additional","affiliation":[{"name":"Northeastern University, Boston, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,5,9]]},"reference":[{"key":"e_1_3_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642077"},{"key":"e_1_3_3_2_3_2","series-title":"Proceedings of Machine Learning Research","first-page":"832","volume-title":"Proceedings of the 37th International Conference on Machine Learning","volume":"119","author":"Bhattacharjee Robi","year":"2020","unstructured":"Robi Bhattacharjee and Kamalika Chaudhuri. 2020. When are Non-Parametric Methods Robust?. In Proceedings of the 37th International Conference on Machine Learning(Proceedings of Machine Learning Research, Vol.\u00a0119), Hal\u00a0Daum\u00e9 III and Aarti Singh (Eds.). PMLR, 832\u2013841. https:\/\/proceedings.mlr.press\/v119\/bhattacharjee20a.html"},{"key":"e_1_3_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1145\/3472538.3472599"},{"key":"e_1_3_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/CoG52621.2021.9619131"},{"key":"e_1_3_3_2_6_2","doi-asserted-by":"crossref","unstructured":"Seth Cooper. 2022. Sturgeon: tile-based procedural level generation via learned and designed constraints. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 18 1 (2022) 26\u201336.","DOI":"10.1609\/aiide.v18i1.21944"},{"key":"e_1_3_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1145\/3582437.3587205"},{"key":"e_1_3_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1145\/3649921.3659844"},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-372512-7.00013-4"},{"key":"e_1_3_3_2_10_2","doi-asserted-by":"crossref","unstructured":"Martin Gebser Benjamin Kaufmann Roland Kaminski Max Ostrowski Torsten Schaub and Marius Schneider. 2011. Potassco: The Potsdam answer set solving collection. AI Communications 24 2 (2011) 107\u2013124.","DOI":"10.3233\/AIC-2011-0491"},{"key":"e_1_3_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1109\/CoG51982.2022.9893612"},{"key":"e_1_3_3_2_12_2","volume-title":"poli: a libary of discrete sequence objectives","author":"Gonz\u00e1lez-Duque Miguel","year":"2024","unstructured":"Miguel Gonz\u00e1lez-Duque, Simon Bartels, and Richard Michael. 2024. poli: a libary of discrete sequence objectives. https:\/\/github.com\/MachineLearningLifeScience\/poli"},{"key":"e_1_3_3_2_13_2","unstructured":"Arthur Guez Mehdi Mirza Karol Gregor Rishabh Kabra Sebastien Racaniere Theophane Weber David Raposo Adam Santoro Laurent Orseau Tom Eccles Greg Wayne David Silver Timothy Lillicrap and Victor Valdes. 2018. An investigation of Model-free planning: boxoban levels. https:\/\/github.com\/deepmind\/boxoban-levels\/."},{"key":"e_1_3_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16719-5"},{"key":"e_1_3_3_2_15_2","doi-asserted-by":"publisher","unstructured":"Q. Huangfu and J.\u00a0A.\u00a0J. Hall. 2018. Parallelizing the dual revised simplex method. Mathematical Programming Computation 10 1 (March 2018) 119\u2013142. 10.1007\/s12532-017-0130-5","DOI":"10.1007\/s12532-017-0130-5"},{"key":"e_1_3_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-94144-8_26"},{"key":"e_1_3_3_2_17_2","doi-asserted-by":"publisher","unstructured":"Alexey Ignatiev Antonio Morgado and Joao Marques-Silva. 2019. RC2: an efficient MaxSAT solver. Journal on Satisfiability Boolean Modeling and Computation 11 1 (Jan. 2019) 53\u201364. 10.3233\/SAT190116","DOI":"10.3233\/SAT190116"},{"key":"e_1_3_3_2_18_2","unstructured":"Eric Jang Shixiang Gu and Ben Poole. 2017. Categorical reparameterization with gumbel-softmax. https:\/\/arxiv.org\/abs\/1611.01144"},{"key":"e_1_3_3_2_19_2","doi-asserted-by":"publisher","DOI":"10.1145\/3337722.3341845"},{"key":"e_1_3_3_2_20_2","unstructured":"Kenney. 2010. Home. https:\/\/www.kenney.nl\/."},{"key":"e_1_3_3_2_21_2","doi-asserted-by":"publisher","DOI":"10.1145\/3321707.3321849"},{"key":"e_1_3_3_2_22_2","doi-asserted-by":"publisher","DOI":"10.1145\/2908812.2908920"},{"key":"e_1_3_3_2_23_2","doi-asserted-by":"crossref","unstructured":"Mario Krenn Florian H\u00e4se AkshatKumar Nigam Pascal Friederich and Alan Aspuru-Guzik. 2020. Self-referencing embedded strings (SELFIES): A 100% robust molecular string representation. Machine Learning: Science and Technology 1 4 (2020) 045024.","DOI":"10.1088\/2632-2153\/aba947"},{"key":"e_1_3_3_2_24_2","first-page":"1945","volume-title":"International conference on machine learning","author":"Kusner Matt\u00a0J","year":"2017","unstructured":"Matt\u00a0J Kusner, Brooks Paige, and Jos\u00e9\u00a0Miguel Hern\u00e1ndez-Lobato. 2017. Grammar variational autoencoder. In International conference on machine learning. PMLR, 1945\u20131954."},{"key":"e_1_3_3_2_25_2","unstructured":"Hector Levesque Ernest Davis and Leora Morgenstern. 2012. The winograd schema challenge. KR 2012 (2012) 13th."},{"key":"e_1_3_3_2_26_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-31612-8_47"},{"key":"e_1_3_3_2_27_2","doi-asserted-by":"publisher","DOI":"10.1145\/3472538.3472587"},{"key":"e_1_3_3_2_28_2","doi-asserted-by":"publisher","DOI":"10.1109\/ITW.2010.5593333"},{"key":"e_1_3_3_2_29_2","volume-title":"Bad Data Handbook: Mapping the World of Data Problems","author":"McCallum Q.E.","year":"2012","unstructured":"Q.E. McCallum. 2012. Bad Data Handbook: Mapping the World of Data Problems. O\u2019Reilly Media."},{"key":"e_1_3_3_2_30_2","unstructured":"Neutronized. 2016. Super Cat Tales. Game [iPhone]."},{"key":"e_1_3_3_2_31_2","unstructured":"Nintendo. 1985. Super Mario Bros.Game [NES]."},{"key":"e_1_3_3_2_32_2","unstructured":"Thinking Rabbit. 1928. Sokoban. Game."},{"key":"e_1_3_3_2_33_2","first-page":"8748","volume-title":"International conference on machine learning","author":"Radford Alec","year":"2021","unstructured":"Alec Radford, Jong\u00a0Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et\u00a0al. 2021. Learning transferable visual models from natural language supervision. In International conference on machine learning. PMLR, 8748\u20138763."},{"key":"e_1_3_3_2_34_2","doi-asserted-by":"publisher","DOI":"10.1145\/3402942.3409604"},{"key":"e_1_3_3_2_35_2","doi-asserted-by":"crossref","unstructured":"Anurag Sarkar Adam Summerville Sam Snodgrass Gerard Bentley and Joseph Osborn. 2020. Exploring level blending across platformers via paths and affordances. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 16 1 (2020) 280\u2013286.","DOI":"10.1609\/aiide.v16i1.7442"},{"key":"e_1_3_3_2_36_2","doi-asserted-by":"publisher","unstructured":"Frederik Schubert Maren Awiszus and Bodo Rosenhahn. 2022. TOAD-GAN: A Flexible Framework for Few-Shot Level Generation in Token-Based Games. IEEE Transactions on Games 14 2 (2022) 284\u2013293. 10.1109\/TG.2021.3069833","DOI":"10.1109\/TG.2021.3069833"},{"key":"e_1_3_3_2_37_2","doi-asserted-by":"publisher","unstructured":"Noor Shaker Miguel Nicolau Georgios\u00a0N. Yannakakis Julian Togelius and Michael O\u2019Neill. 2012. Evolving levels for Super Mario Bros using grammatical evolution. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 16 1 (2012) 304\u2013311. 10.1109\/CIG.2012.6374170","DOI":"10.1109\/CIG.2012.6374170"},{"key":"e_1_3_3_2_38_2","doi-asserted-by":"publisher","DOI":"10.1145\/2282338.2282370"},{"key":"e_1_3_3_2_39_2","doi-asserted-by":"publisher","DOI":"10.1145\/3472538.3472602"},{"key":"e_1_3_3_2_40_2","doi-asserted-by":"publisher","unstructured":"Nathan Sturtevant Nicolas Decroocq Aaron Tripodi and Matthew Guzdial. 2020. The Unexpected Consequence of Incremental Design Changes. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 16 1 (Oct. 2020) 130\u2013136. 10.1609\/aiide.v16i1.7421","DOI":"10.1609\/aiide.v16i1.7421"},{"key":"e_1_3_3_2_41_2","unstructured":"Shyam Sudhakaran Miguel Gonz\u00e1lez-Duque Matthias Freiberger Claire Glanois Elias Najarro and Sebastian Risi. 2024. Mariogpt: Open-ended text2level generation through large language models. Advances in Neural Information Processing Systems 36 (2024) 54213\u201354227."},{"key":"e_1_3_3_2_42_2","first-page":"997","volume-title":"International conference on machine learning","author":"Sui Yanan","year":"2015","unstructured":"Yanan Sui, Alkis Gotovos, Joel Burdick, and Andreas Krause. 2015. Safe exploration for optimization with Gaussian processes. In International conference on machine learning. PMLR, Lille, France, 997\u20131005."},{"key":"e_1_3_3_2_43_2","doi-asserted-by":"publisher","unstructured":"Adam Summerville Matthew Guzdial Michael Mateas and Mark Riedl. 2021. Learning Player Tailored Content From Observation: Platformer Level Generation from Video Traces using LSTMs. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 12 2 (Jun. 2021) 107\u2013113. 10.1609\/aiide.v12i2.12895","DOI":"10.1609\/aiide.v12i2.12895"},{"key":"e_1_3_3_2_44_2","doi-asserted-by":"crossref","unstructured":"Adam Summerville and Michael Mateas. 2016. Super mario as a string: Platformer level generation via LSTMs. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1603.00930 (2016).","DOI":"10.26503\/dl.v2016i1.752"},{"key":"e_1_3_3_2_45_2","unstructured":"Adam\u00a0James Summerville Sam Snodgrass Michael Mateas and Santiago\u00a0Onta\u00f1\u00f3n Villar. 2016. The VGLC: The Video Game Level Corpus. Proceedings of the 7th Workshop on Procedural Content Generation (2016)."},{"key":"e_1_3_3_2_46_2","doi-asserted-by":"publisher","DOI":"10.1145\/3582437.3587211"},{"key":"e_1_3_3_2_47_2","doi-asserted-by":"publisher","DOI":"10.1109\/CoG47356.2020.9231576"},{"key":"e_1_3_3_2_48_2","doi-asserted-by":"publisher","unstructured":"Pauli Virtanen Ralf Gommers Travis\u00a0E. Oliphant Matt Haberland Tyler Reddy David Cournapeau Evgeni Burovski Pearu Peterson Warren Weckesser Jonathan Bright St\u00e9fan\u00a0J. van der Walt Matthew Brett Joshua Wilson K.\u00a0Jarrod Millman Nikolay Mayorov Andrew R.\u00a0J. Nelson Eric Jones Robert Kern Eric Larson C.\u00a0J. Carey \u0130lhan Polat Yu Feng Eric\u00a0W. Moore Jake VanderPlas Denis Laxalde Josef Perktold Robert Cimrman Ian Henriksen E.\u00a0A. Quintero Charles\u00a0R. Harris Anne\u00a0M. Archibald Ant\u00f4nio\u00a0H. Ribeiro Fabian Pedregosa and Paul van Mulbregt. 2020. SciPy 1.0: fundamental algorithms for scientific computing in Python. Nature Methods 17 3 (March 2020) 261\u2013272. 10.1038\/s41592-019-0686-2","DOI":"10.1038\/s41592-019-0686-2"},{"key":"e_1_3_3_2_49_2","doi-asserted-by":"publisher","DOI":"10.1145\/3205455.3205517"},{"key":"e_1_3_3_2_50_2","doi-asserted-by":"crossref","unstructured":"David Weininger. 1988. SMILES a chemical language and information system. 1. Introduction to methodology and encoding rules. Journal of chemical information and computer sciences 28 1 (1988) 31\u201336.","DOI":"10.1021\/ci00057a005"},{"key":"e_1_3_3_2_51_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-demos.6"},{"key":"e_1_3_3_2_52_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICOMET.2019.8673443"}],"event":{"name":"FDG '25: International Conference on the Foundations of Digital Games","location":"Vienna & Graz Austria","acronym":"FDG '25"},"container-title":["Proceedings of the 20th International Conference on the Foundations of Digital Games"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3723498.3723820","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3723498.3723820","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:56:46Z","timestamp":1750298206000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3723498.3723820"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,15]]},"references-count":51,"alternative-id":["10.1145\/3723498.3723820","10.1145\/3723498"],"URL":"https:\/\/doi.org\/10.1145\/3723498.3723820","relation":{},"subject":[],"published":{"date-parts":[[2025,4,15]]},"assertion":[{"value":"2025-05-09","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}