3 papers
math.OC2025
Reinforcement Learning for Optimal Stopping in POMDPs with Application to Quickest Change Detection
Austin Cooper, Sean Meyn
The field of quickest change detection (QCD) focuses on the design and analysis of online algorithms that estimate the time at which a significant event occurs. In this paper, desi…
cs.CE2025
Predictive Machine Learning to Increase the Throughput of Container Yards
Austin Ford Cooper
This study seeks to improve the throughput rates for shipping container terminals. In the United States, shipping ports link the domestic economy to global markets and are vital to…
math.ST2024
Quickest Change Detection Using Mismatched CUSUM
Austin Cooper, Sean Meyn
Quickest change detection concerns estimation of an unknown change time \(τ_a\) from a sequence of partial observations \(\{Y_k:k\ge 0\}\). We consider stopping rules of CUSUM form…