Player Modelling

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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Play-style Identification and Player Modelling for Generating Tailored Advice in Video Games
Recent advances in fields such as machine learning have enabled the development of systems that are able to achieve super-human …
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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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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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