Generating Tailored Advice in Video Games through Play-Style Identification and Player Modelling. - Branden Ingram (AIIDE, 2021)

Play-style Identification through Deep Unsupervised Clustering of Trajectories. - Branden Ingram; Benjamin Rosman; Clint J. van Alten; Richard Klein (CoG, 2022)

Improved Action Prediction through Multiple Model Processing of Player Trajectories. - Branden Ingram; Benjamin Rosman; Clint J. van Alten; Richard Klein (CoG, 2022)

Real Time In-Game Playstyle Classification Using a Hybrid Probabilistic Supervised Learning Approach. - Lindsay John Arendse; Branden Ingram; Benjamin Rosman (SACAIR, 2022)

Hierarchical WaveFunction Collapse. - Michael Beukman; Branden Ingram; Ireton Liu; Benjamin Rosman (AIIDE, 2023)

Creating Diverse Play-Style-Centric Agents through Behavioural Cloning. - Branden Ingram; Clint J. van Alten; Richard Klein; Benjamin Rosman (AIIDE, 2023)

Generating Interpretable Play-Style Descriptions Through Deep Unsupervised Clustering of Trajectories. - Branden Ingram; Clint J. van Alten; Richard Klein; Benjamin Rosman (IEEE Trans. Games, 2023)

Analysing the effect of latent space mutation strategies for PCGML. - Kayleize Govender; Branden Ingram; Pravesh Ranchod (CoG, 2024)

RobocupGym: A challenging continuous control benchmark in Robocup. - Michael Beukman; Branden Ingram; Geraud Nangue Tasse; Benjamin Rosman; Pravesh Ranchod (CoRR, 2024)

Hierarchically Composing Level Generators for the Creation of Complex Structures. - Michael Beukman; Manuel Fokam; Marcel Kruger; Guy Axelrod; Muhammad Umair Nasir; Branden Ingram; Benjamin Rosman; Steven James 001 (IEEE Trans. Games, 2024)