Discovery Projects - Grant ID: DP200100700

Funding Activity

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Funded Activity Summary

Sequential decision-making in dynamic and uncertain environments. Current machine learning and optimisation methods cannot well support sequential prediction and decision-making due to the dynamic nature and pervasive presence of big data. This project aims to create a foundation and technology for sequence and uncertainty learning, sequential and dynamic optimisation, and their integration. It is expected to improve robustness and mitigate the vulnerabilities of machine learning algorithms, to increase prediction accuracy and reliability in dynamic sequences, and to support decision-making in complex situations to achieve robust and adaptive results. Anticipated outcomes can help data scientists with state-of-the-art skills to manage sequential data and benefit data-enabled innovation in Australia.

Funded Activity Details

Start Date: 01-06-2020

End Date: 31-12-2023

Funding Scheme: Discovery Projects

Funding Amount: $480,000.00

Funder: Australian Research Council