Maximizing or Minimizing a Learned Model

We have seen how to search a forward model to get a target tracking controller, but that is just one of many things Optex can do with a memory based model. Suppose that instead of tracking a target, we'd like to maximize the output of a certain system. This would be the case if the action was a temperature control on a chemical fermentation process, and the behavior was the process yield. To do this, we modify the Taskspec to describe the new problem.

Optex -> Edit -> Taskspec -> Maximize expression
                             OUTPUT Variable weight 1.0
                             OUTPUT Target weight   0.0
                             INPUT Low              0.0
                             OK
         Choose

Optex suggests action 0.4, and predicts that it will yield behavior 0.93. You can ask Vizier for a prediction, or check fig. 28 to verify the Optex selection.