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Lessons from Testing an Evolutionary Automated Game Balancer in Industry.

, и . GEM, стр. 263-270. IEEE, (2018)

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Thomas Morosan

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Другие публикации лиц с тем же именем

Genetic optimisation of BCI systems for identifying games related cognitive states., , , и . GECCO (Companion), стр. 237-238. ACM, (2018)Automated Game Balancing in Ms PacMan and StarCraft Using Evolutionary Algorithms., и . EvoApplications (1), том 10199 из Lecture Notes in Computer Science, стр. 377-392. (2017)Automating game-design and game-agent balancing through computational intelligence.. University of Essex, Colchester, UK, (2019)British Library, EThOS.Evolving a designer-balanced neural network for Ms PacMan., и . CEEC, стр. 100-105. IEEE, (2017)Speeding up genetic algorithm-based game balancing using fitness predictors., и . GECCO (Companion), стр. 91-92. ACM, (2017)Online-Trained Fitness Approximators for Real-World Game Balancing., и . EvoApplications, том 10784 из Lecture Notes in Computer Science, стр. 292-307. Springer, (2018)Lessons from Testing an Evolutionary Automated Game Balancer in Industry., и . GEM, стр. 263-270. IEEE, (2018)