2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/118885We investigate systematically the impact of human intervention in the training of computer players in a strategy board game. In that game, computer players utilise reinforcement learning with neural networks for evolving their playing strategies and demonstrate a slow learning speed. Human intervention can significantly enhance learning performance, but carry-ing it out systematically seems to be more of a problem of an integrated game development environment as opposed to automatic evolutionary learning.Contains 19 pages, 10 figures, 8 tables. Submitted to a journalArtificial IntelligenceComputer Science and Game TheoryNeural and Evolutionary Computingtext