2 papers
q-bio.PE2024
Using machine learning to inform harvest control rule design in complex fishery settings
Felipe Montealegre-Mora, Carl Boettiger, Carl J. Walters +1
In fishery science, harvest management of size-structured stochastic populations is a long-standing and difficult problem. Rectilinear precautionary policies based on biomass and h…
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…