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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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Automatic Encoding and Repair of Reactive High-Level Tasks with Learned Abstract Representations
We present a framework for the automatic encoding and repair of high-level tasks. Given a set of skills a robot can perform, our …
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FABRIC: A Framework for the Design and Evaluation of Collaborative Robots with Extended Human Adaptation
A limitation for collaborative robots (cobots) is their lack of ability to adapt to human partners, who typically exhibit an immense …
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Who Should I Trust? Cautiously Learning with Unreliable Experts
An important problem in reinforcement learning is the need for greater sample efficiency. One approach to dealing with this problem is …
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Investigating Transfer Learning in Graph Neural Networks
Graph neural networks (GNNs) build on the success of deep learning models by extending them for use in graph spaces. Transfer learning …
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Fairness and accountability of AI in disaster risk management: Opportunities and challenges
Disaster risk management (DRM) seeks to help societies prepare for, mitigate, or recover from the adverse impacts of disasters and …
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Estimation of Body Mass Index from Photographs using Deep Convolutional Neural Networks
Obesity is an important concern in public health, and Body Mass Index is one of the useful, common and convenient measures. However, …
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The Hospital as a Sorting Machine
Large hospitals sort patients into wards or clinics based on a number of factors. The information of a patient’s location is …
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Defect Detection and Quantification in Electroluminescence Images of Solar PV Modules using U-net Semantic Segmentation
Electroluminescence (EL) images enable defect detection in solar photovoltaic (PV) modules that are otherwise invisible to the naked …
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