A primer on POMDPs
POMDPs (Partially observable Markov decision processes) are powerful decision models that allow users to make decisions under imperfect observations over time. This primer provides a much-needed entry point to ecologists.
Mar 21
POMDPs (Partially observable Markov decision processes) are powerful decision models that allow users to make decisions under imperfect observations over time. This primer provides a much-needed entry point to ecologists.
Do you need to find the best decisions to maximize your chances of protecting a threatened species today but also in the future? Yes? Then you might be interested by our primer on stochastic dynamic programming (SDP). Stochastic Dynamic Programming (SDP) is an essential tool in conservation biology and natural resources management.
Marescot L., Chapron G., Chadès I., Fackler P., Duchamp C., Marboutin E. & Gimenez O. (2013). Complex decisions made simple: a primer on stochastic dynamic programming. Methods in Ecology and Evolution, 4, 872-884.