Discovery Projects - Grant ID: DP200101049

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP200101049

Funding Status
Active

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Funded Activity Summary

Partially Observable MDPs, Monte Carlo Methods, and Sustainable Fisheries. Partially Observable Markov Decision Processes (POMDPs) provide a general mathematical framework for sequential decision making under uncertainty. However, solving POMDPs effectively under realistic assumptions remains a challenging problem. This project aims to develop new efficient Monte Carlo algorithms to significantly advance the application of POMDPs to real-world decision problems involving complex action spaces and system dynamics. Both theoretical and algorithmic approaches will be applied to sustainable fishery management --- an important problem for Australia and an ideal context for POMDPs. The project will advance research in artificial intelligence, dynamical systems, and fishery operations, and benefit the national economy.

Funded Activity Details

Start Date: 15-05-2021

End Date: 14-05-2024

Funding Scheme: Discovery Projects

Funding Amount: $365,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Artificial Intelligence and Image Processing not elsewhere classified | Operations Research | Stochastic Analysis and Modelling | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Logistics | Fisheries - Aquaculture not elsewhere classified | Sustainability Indicators |

Other Keywords

Artificial Intelligence and Image Processing | Artificial Intelligence and Image Processing not elsewhere classified | Fisheries - Aquaculture not elsewhere classified | Logistics | Operations Research | Stochastic Analysis and Modelling | Sustainability Indicators

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