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Grant Award View - GA215339
Large Markov decision processes and combinatorial optimisation
GA ID:
GA215339
Agency:
Australian Research Council
Approval Date:
21-Jan-2022
Publish Date:
25-Jan-2022
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
21-Jan-2022 to 22-Mar-2023
Original: 21-Jan-2022 to 31-Dec-2024
Value (AUD):
$0.00
(GST inclusive where applicable)
Original:
$383,000.00
Variations:
- GA215339-V1 - Variation to Grant (2-Aug-2023 )
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 21/22 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Large Markov decision processes and combinatorial optimisation
Purpose:
Markov decision processes continue to gain in popularity for modelling a wide range of applications ranging from analysis of supply chains and queueing networks to cognitive science and control of autonomous vehicles. Nonetheless, they tend to become numerically intractable as the size of the model grows fast. Recent works use machine learning techniques to overcome this crucial issue, but with no convergence guarantee. This project aims to provide theoretically sound frameworks for solving large Markov decision processes, and exploit them to solve important combinatorial optimisation problems. This timely project can promote Australia's position in the development of such novel frameworks for many scientific and industrial applications.
GO ID:
GO Title:
Discovery Projects for funding commencing in 2022
Internal Reference ID:
DP22 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
The University of Newcastle
Recipient ABN:
15 736 576 735
Grant Recipient Location
Suburb:
CALLAGHAN
Town/City:
CALLAGHAN
Postcode:
2308
State/Territory:
NSW
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
NSW
Postcode:
2308
Country:
AUSTRALIA