Trail Sense

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Machine Learning Arena is a game to train an ML agent to win a boxing match, integrating ML concepts and animated characters.

Machine Learning Arena (MLA) is a game designed to train a machine learning (ML) agent to win a boxing match. The game includes phases with fully animated characters and integrates ML concepts. The project addressed several challenges: communicating ML progress via UI, collecting inadequate training examples from users, and explaining ML concepts to novices. User testing with 27 participants indicated that 85% could distinguish between a random and trained agent. The report provides suggestions for future development, including enhancing communication of ML processes through gameplay or UI, improving input sanitization for better player satisfaction, and anticipating extended development time for ML integration.

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