2 papers
stat.AP2026
Bayesian decision theory for wildlife management under uncertainty: from inference to action
Olivier Gimenez, Abigail G. Keller, Cyril Milleret
Ecologists are increasingly expected to inform management decisions under uncertainty, yet most analytical workflows stop at statistical inference. Bayesian decision theory provide…
cs.LG2023
Pretty darn good control: when are approximate solutions better than approximate models
Felipe Montealegre-Mora, Marcus Lapeyrolerie, Melissa Chapman +2
Existing methods for optimal control struggle to deal with the complexity commonly encountered in real-world systems, including dimensionality, process error, model bias and data h…