Procedural Content Generation

Analysing the Effect of Latent Space Mutation Strategies for PCGML
Procedural Content Generation Via Machine Learning (PCGML), describes an evolving area of research, that incorporates the use of …
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Hierarchical WaveFunction Collapse
Video game developers are increasingly utilising procedural content generation (PCG) techniques in order to generate more content far …
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Hierarchically Composing Level Generators for the Creation of Complex Structures
Procedural content generation (PCG) is a growing field, with numerous applications in the video game industry and great potential to …
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Combining Evolutionary Search with Behaviour Cloning for Procedurally Generated Content
In this work, we consider the problem of procedural content generation for video game levels. Prior approaches have relied on …
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Procedural Content Generation using Neuroevolution and Novelty Search for Diverse Video Game Levels
Procedurally generated video game content has the potential to drastically reduce the content creation budget of game developers and …
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Procedural Content Generation using Neuroevolution and Novelty Search for Diverse Video Game Levels
AI in Games
Our research project explores the application of AI and machine learning techniques in video games, focusing on procedural content generation and AI-driven advice. We aim to dynamically generate diverse game content and create intelligent virtual companions that offer personalised guidance and strategies to enhance player experiences.
AI in Games