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Found 4 papers, 2 papers with code
Tree-Based Reconstructive Partitioning: A Novel Low-Data Level Generation Approach
We consider TRP to be a promising new approach that can afford the introduction of PCGML into the early stages of game development without requiring human expertise or significant training data.
Diversity-based Deep Reinforcement Learning Towards Multidimensional Difficulty for Fighting Game AI
In fighting games, individual players of the same skill level often exhibit distinct strategies from one another through their gameplay.
Threshold Designer Adaptation: Improved Adaptation for Designers in Co-creative Systems
To best assist human designers with different styles, Machine Learning (ML) systems need to be able to adapt to them.
TaikoNation: Patterning-focused Chart Generation for Rhythm Action Games
Generating rhythm game charts from songs via machine learning has been a problem of increasing interest in recent years.
