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Online-Trained Fitness Approximators for Real-World Game Balancing.

, and . EvoApplications, volume 10784 of Lecture Notes in Computer Science, page 292-307. Springer, (2018)

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