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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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A Comparison of Visual Place Recognition Methods using a Mobile Robot in an Indoor Environment
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Overlooked Implications of the Reconstruction Loss for VAE Disentanglement
Learning disentangled representations with variational autoencoders (VAEs) is often attributed to the regularisation component of the …
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Augmentative Topology Agents For Open-ended Learning
We tackle the problem of open-ended learning by introducing a method that simultaneously evolves agents while also evolving …
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On The Specialization of Neural Modules
A number of machine learning models have been proposed with the goal of achieving systematic generalization: the ability to reason …
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Comparing Synthetic Tabular Data Generation Between a Probabilistic Model and a Deep Learning Model for Education Use Cases
The ability to generate synthetic data has a variety of use cases across different domains. In education research, there is a growing …
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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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Reinforcement Learning in Education: A Multi-Armed Bandit Approach
Advances in reinforcement learning research have demonstrated the ways in which different agent-based models can learn how to optimally …
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Improving Reinforcement Learning with Ensembles of Different Learners
Different reinforcement learning (RL) methods exist to address the problem of combining multiple different learners to generate a …
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Reducing the Planning Horizon through Reinforcement Learning
Planning is a computationally expensive process, which can limit the reactivity of autonomous agents. Planning problems are usually …
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