3 citations · 5 across the 4 of their papers we have counts for
4 papers
Assessing the Impact of the Quality of Textual Data on Feature Representation and Machine Learning Models
Tabinda Sarwar, Antonio Jose Jimeno Yepes, Lawrence Cavedon
Background: Data collected in controlled settings typically results in high-quality datasets. However, in real-world applications, the quality of data collection is often compromis…
Sample-Efficient, Exploration-Based Policy Optimisation for Routing Problems
Nasrin Sultana, Jeffrey Chan, Tabinda Sarwar +1
Model-free deep-reinforcement-based learning algorithms have been applied to a range of COPs~\cite{bello2016neural}~\cite{kool2018attention}~\cite{nazari2018reinforcement}. However…
Learning Enhanced Optimisation for Routing Problems
Nasrin Sultana, Jeffrey Chan, Tabinda Sarwar +2
Deep learning approaches have shown promising results in solving routing problems. However, there is still a substantial gap in solution quality between machine learning and operat…
Learning Vehicle Routing Problems using Policy Optimisation
Nasrin Sultana, Jeffrey Chan, A. K. Qin +1
Deep reinforcement learning (DRL) has been used to learn effective heuristics for solving complex combinatorial optimisation problem via policy networks and have demonstrated promi…