Discovery Early Career Researcher Award - Grant ID: DE200100245

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE200100245

Funding Status
Active

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Funded Activity Summary

Bayesian nonparametric learning for practical sequential decision making. This project aims to develop new methods to support practical sequential decision making under uncertainty. It expects to pave the way for the next generation of sequential decision making uniquely characterised by uncertainty modelling, high sample-efficiency, efficient environment change adaptation, and automatical reward function learning. The expected outcomes will advance machine learning knowledge with a new deep learning schema for data modelling and sequential decision-making knowledge with a novel deep reinforcement learning methodology. These developments have immediate applications in autonomous vehicles, advanced manufacturing, and dynamic pricing, with scientific, economic, and social benefits for Australia and the world.

Funded Activity Details

Start Date: 01-05-2020

End Date: 30-04-2024

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $410,518.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Information Systems | Pattern Recognition and Data Mining | Decision Support and Group Support Systems | Information Retrieval and Web Search |

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Information and Computing Sciences | Application Software Packages (excl. Computer Games) | Information Processing Services (incl. Data Entry and Capture)

Other Keywords

Application Software Packages (excl. Computer Games) | Decision Support and Group Support Systems | Expanding Knowledge in the Information and Computing Sciences | Information Processing Services (incl. Data Entry and Capture) | Information Retrieval and Web Search | Information Systems | Pattern Recognition and Data Mining

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