Analysis code for extending Inverse Optimization to settings whrere outcomes are observable but delayed and depend on a time series of past decisions. We added multiple new models
The code provides a simple example of a dynamic optimization problem where decision are temporally dependent on each other. The code provides solutions to the IO models with and without consideration of the time depenence. Figures for comparing models is also provided.