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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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Analyzing Reinforcement Learning Algorithms for Nitrogen Fertilizer Management in Simulated Crop Growth
Establishing intelligent crop management techniques for preserving the soil, while providing next-generational food supply for an …
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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
Autonomous Learning of Object-Centric Abstractions for High-Level Planning
We propose a method for autonomously learning an object-centric representation of a continuous and high-dimensional environment that is …
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Generalisation in Lifelong Reinforcement Learning through Logical Composition
We leverage logical composition in reinforcement learning to create a framework that enables an agent to autonomously determine whether …
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Using Score-based Structure Learning to Computationally Learn Direct Influence between Hierarchical Dynamic Bayesian Networks
Numerous fields of science have investigated stochastic processes which are partially observable. However, the discovery and analysis …
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Constructing a Visual Dataset to Study the Effects of Spatial Apartheid in South Africa
Aerial images of neighborhoods in South Africa show the clear legacy of Apartheid, a former policy of political and economic …
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Improving Pose Estimation through Contextual Activity Fusion
This research presents the idea of activity fusion into existing Pose Estimation architectures to enhance their predictive ability. …
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