Assume i have x states each defined by an n-dimensional feature vector. In addition i have a set of actions which can be taken in each state resulting in a state action score. What would be an efficient way to derive the optimal actions for each state, optimising the score. Can this be expressed in terms of a genetic algorithm?
There is no knowledge about underlying structure of states, actions and scores. Information is gathered through experiments.
State of patient defined by biomarkers, action taken: infuse drug with properties xzy, score to maximize: -1*(patients painlevel + nausea)