Free toolbox to solve stochastic dynamic programming problems in R, MATLAB, OCTAVE and SciLab

by iadine on July 15, 2014

If you are interested in finding the best decisions over time to save or eradicate the cutest species, then you are probably interested in using Stochastic Dynamic Programming (SDP) or its mathematical model Markov Decision Process (MDP). If you have a burning problem ready to be solved but not sure how to, then good news we have released the MDPToolbox (ver. 4) in R, Matlab, Octave and Scilab. Please spread the word, the toolbox is free! Thanks to Ecography, you can now support our efforts by citing our paper:

Chadès, I., Chapron, G., Cros, M.-J., Garcia, F. and Sabbadin, R. (2014), MDPtoolbox: a multi-platform toolbox to solve stochastic dynamic programming problems. Ecography. doi: 10.1111/ecog.00888

To download the toolbox: http://www7.inra.fr/mia/T/MDPtoolbox/

If you are still unsure about SDP, try: Marescot, L., G. Chapron, I. Chadès, P. Fackler, C. Duchamp, E. Marboutin, and O. Gimenez. 2013. Complex decisions made simple: a primer on stochastic dynamic programming. Methods in Ecology and Evolution 4:872-884.

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The Conservation Decisions team (CSIRO Land and Water) is a multi-disciplinary group with expertise in ecological modelling, systematic conservation planning, ecosystem services, applied mathematics, artificial intelligence, and decision theory. We’re pioneering techniques in optimal resource allocation, cost-effectiveness analysis, expert elicitation, value of information, multi-objective optimisation and adaptive management. We apply our expertise to diverse problems to inform the recovery of endangered species, management of pests, invasive species and diseases, design of conservation reserves, medical decision making, freshwater resource management and the prioritization of threat management to conserve biodiversity in a rapidly changing world. We solve pressing global decision problems. We do this by connecting big and small data with decision science to determine what actions to take, when and where to get the best outcomes for our bucks, while taking into account the many other competing needs of society.