AI in Games

Last updated on 6 Jun, 2023

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. By integrating AI technologies, we strive to revolutionise video game design and contribute to the advancement of AI in the gaming industry.

Procedural Content Generation Video Games Reinforcement Learning

Publications

Creating Diverse Play-Style-Centric Agents through Behavioural Cloning
Developing diverse and realistic agents in terms of behaviour and skill is crucial for game developers to enhance player satisfaction …
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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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Generating Interpretable Play-style Descriptions through Deep Unsupervised Clustering of Trajectories
In any game, play style is a concept that describes the technique and strategy employed by a player to achieve a goal. Identifying a …
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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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Real Time In-Game Playstyle Classification Using A Hybrid Probabilistic Supervised Learning Approach
In interactive digital media, such as video games, bringing about an adaptive or personalised experience requires a mechanism for …
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Improved Action Prediction through Multiple Model Processing of Player Trajectories
Action prediction in video games is the process of extracting useful information in order to predict the future actions of a player. …
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Play-style Identification through Deep Unsupervised Clustering of Trajectories
In any game, play-style is a concept that describes the technique and strategy employed by a player to achieve a goal. Being able 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