3 papers
cs.LG2024
Bounded Exploration with World Model Uncertainty in Soft Actor-Critic Reinforcement Learning Algorithm
Ting Qiao, Henry Williams, David Valencia +1
One of the bottlenecks preventing Deep Reinforcement Learning algorithms (DRL) from real-world applications is how to explore the environment and collect informative transitions ef…
cs.LG2024
Utilising Explainable Techniques for Quality Prediction in a Complex Textiles Manufacturing Use Case
Briony Forsberg, Dr Henry Williams, Prof Bruce MacDonald +3
This paper develops an approach to classify instances of product failure in a complex textiles manufacturing dataset using explainable techniques. The dataset used in this study wa…
cs.CV2024
Textile Anomaly Detection: Evaluation of the State-of-the-Art for Automated Quality Inspection of Carpet
Briony Forsberg, Dr Henry Williams, Prof Bruce MacDonald +2
In this study, state-of-the-art unsupervised detection models were evaluated for the purpose of automated anomaly inspection of wool carpets. A custom dataset of four unique types…