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Language Models for Procedural Content Generation

, , , , , , , and . Human-Game AI Interaction (Dagstuhl Seminar 22251), 12 (6): 34-37 (January 2023)
DOI: 10.4230/DagRep.12.6.28

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UT2: Human-like behavior via neuroevolution of combat behavior and replay of human traces., , and . CIG, page 329-336. IEEE, (2011)Interactive evolution and exploration within latent level-design space of generative adversarial networks., , , , , and . GECCO, page 148-156. ACM, (2020)Divide and conquer: neuroevolution for multiclass classification., , , , , , , , and . GECCO, page 474-481. ACM, (2018)Evolving Flying Machines in Minecraft Using Quality Diversity., , , and . GECCO, page 1418-1426. ACM, (2023)Language Models for Procedural Content Generation, , , , , , , and . Human-Game AI Interaction (Dagstuhl Seminar 22251), 12 (6): 34-37 (January 2023)Using Indirect Encoding of Multiple Brains to Produce Multimodal Behavior., , and . CoRR, (2016)Evolving Multimodal Networks for Multitask Games., and . IEEE Trans. Comput. Intellig. and AI in Games, 4 (2): 94-111 (2012)Neuroevolution of Multimodal Ms. Pac-Man Controllers Under Partially Observable Conditions., and . CEC, page 466-473. IEEE, (2019)Desirable Behaviors for Companion Bots in First-Person Shooters., and . CoG, page 1-8. IEEE, (2019)Quantum Zentanglement: Combining Picbreeder and Wave Function Collapse to Create Zentangles®., , , and . EvoMUSART, volume 12103 of Lecture Notes in Computer Science, page 49-65. Springer, (2020)