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On the Cross-Domain Reusability of Neural Modules for General Video Game Playing., , , and . CGW/GIGA@IJCAI, volume 614 of Communications in Computer and Information Science, page 115-129. Springer, (2015)Aggregating Complex Annotations via Merging and Matching., and . KDD, page 86-94. ACM, (2021)Modeling and Aggregation of Complex Annotations via Annotation Distances., and . WWW, page 1807-1818. ACM / IW3C2, (2020)A General Model for Aggregating Annotations AcrossSimple, Complex, and Multi-object Annotation Tasks (Abstract Reprint)., , , and . AAAI, page 22693. AAAI Press, (2024)Frame Skip Is a Powerful Parameter for Learning to Play Atari., , , and . AAAI Workshop: Learning for General Competency in Video Games, volume WS-15-10 of AAAI Workshops, AAAI Press, (2015)Discretization of Game Space by Environment Attributes., and . KEG@AAAI, volume 2313 of CEUR Workshop Proceedings, page 76-80. CEUR-WS.org, (2019)Reuse of Neural Modules for General Video Game Playing., , , and . AAAI, page 353-359. AAAI Press, (2016)Measuring Annotator Agreement Generally across Complex Structured, Multi-object, and Free-text Annotation Tasks., , and . WWW, page 1720-1730. ACM, (2022)Object-Model Transfer in the General Video Game Domain., and . AIIDE, page 136-142. AAAI Press, (2016)