Neural Level Generation
Training neural networks to generate platformer levels that maintain proper difficulty curves.
AI & Machine Learning Collection
ML Experiments Lab
Explorations of AI and machine learning applications in game development. From procedural generation to player behavior analysis, discover how modern AI can enhance game creation and player experiences.
Procedural Generation
Using ML models for creating dynamic game content, from levels to textures and audio.
Texture Synthesis Networks
Using GANs to generate seamless game textures and material variations automatically.
Procedural Audio Design
ML-driven sound effect generation and adaptive music systems that respond to gameplay.
Player Analytics & Behavior
Analyzing player behavior patterns to improve game balance and user experience design.
Behavioral Pattern Analysis
Clustering algorithms to identify different player types and their preferred play styles.
Difficulty Balancing Models
ML models that predict player frustration and suggest dynamic difficulty adjustments.
Creative AI Tools
AI-assisted content creation tools for art, narrative, and game design workflows.
AI-Assisted Concept Art
Integration of AI image generation tools into concept art and visual development pipelines.
Narrative Generation Experiments
Using language models to assist with dialogue writing and branching narrative creation.