4 citations · 10 across the 4 of their papers we have counts for
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cs.AI2022★ 4 cited
Linear programming-based solution methods for constrained partially observable Markov decision processes
Robert K. Helmeczi, Can Kavaklioglu, Mucahit Cevik
Constrained partially observable Markov decision processes (CPOMDPs) have been used to model various real-world phenomena. However, they are notoriously difficult to solve to optim…
cs.AI2022★ 2 cited
A multi-objective constrained POMDP model for breast cancer screening
Robert K. Helmeczi, Can Kavaklioglu, Mucahit Cevik +1
Breast cancer is a common and deadly disease, but it is often curable when diagnosed early. While most countries have large-scale screening programs, there is no consensus on a sin…