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Grant Award View - GA64796

Bayesian nonparametric learning for practical sequential decision making

Contact Details

ARC NCGP General Enquiries

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02 6287 6600

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GA ID:
GA64796
Agency:
Australian Research Council
Approval Date:
4-Dec-2019
Publish Date:
5-Dec-2019
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
1-May-2020 to 30-Apr-2024
Original: 1-Jan-2020 to 31-Dec-2022
Value (AUD):
$410,518.00 (GST inclusive where applicable)
Variations:

One-off/Ad hoc:
No
Aggregate Grant Award:
No

PBS Program Name:
ARC 19/20 Discovery
Grant Program:
Discovery Early Career Researcher Award
Grant Activity:
Bayesian nonparametric learning for practical sequential decision making
Purpose:
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.

GO ID:
GO Title:
Discovery Early Career Researcher Award for funding commencing in 2020
Internal Reference ID:
DE20 Round 1
Selection Process:
Targeted or Restricted Competitive

Confidentiality - Contract:
No
Confidentiality - Outputs:
No

Grant Recipient Details

Recipient Name:
University of Technology Sydney
Recipient ABN:
77 257 686 961

Grant Recipient Location

Suburb:
ULTIMO
Town/City:
ULTIMO
Postcode:
2007
State/Territory:
NSW
Country:
AUSTRALIA

Grant Delivery Location

State/Territory:
NSW
Postcode:
2007
Country:
AUSTRALIA

Contact Details

ARC NCGP General Enquiries

:
02 6287 6600

: