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Studying the Effects of Training Data on Machine Learning-Based Procedural Content Generation.

, , and . AIIDE, page 122-128. AAAI Press, (2017)

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Experiments in map generation using Markov chains., and . FDG, Society for the Advancement of the Science of Digital Games, (2014)Studying the Effects of Training Data on Machine Learning-Based Procedural Content Generation., , and . AIIDE, page 122-128. AAAI Press, (2017)A Hierarchical MdMC Approach to 2D Video Game Map Generation., and . AIIDE, page 205-211. AAAI Press, (2015)Not All the Same: Understanding and Informing Similarity Estimation in Tile-Based Video Games., , , , and . CHI, page 366:1-366:23. ACM, (2024)Learning to Predict Driver Behavior from Observation., , , , and . AAAI Spring Symposia, AAAI Press, (2017)General Statistical Approaches to Procedural Map Generation.. IJCAI, page 4028-4029. IJCAI/AAAI Press, (2016)Player Movement Models for Video Game Level Generation., and . IJCAI, page 757-763. ijcai.org, (2017)The Development of a Methodology for Gamifying Surveys., , , , , and . CHI PLAY (Companion), page 461-467. ACM, (2018)Towards a generalized player model through the PEAS framework., , and . FDG, page 98:1-98:7. ACM, (2019)"Rather Solve the Problem from Scratch": Gamesploring Human-Machine Collaboration for Optimizing the Debris Collection Problem., , , , and . IUI, page 604-619. ACM, (2022)