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For a psychology experiment - subject has to learn that the 2D grid is a checkerboard, and collect all the 1s (rewards). How do I test if subjects are actually doing it in the most optimal way -- making least effort for moving from one square to the next by taking smaller steps (or selecting closest reward neighbour). My guess is that if I could simulate a learning algorithm and approximate how long it takes to learn the reward distribution, and then explore it optimally (optimality is defined as a unit of time and exploring closest squares first), I could compare the behaviour.

(i've cross-posted in the game development forum as well, as inputs from both psychologists and game developers would be very useful!)

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closed as off-topic by AliceD, Christian Hummeluhr, Arnon Weinberg, Robin Kramer, Seanny123 Jun 2 '16 at 15:19

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  • $\begingroup$ Could you give a diagram explaining the task and the ideal behaviour? $\endgroup$ – Seanny123 Jun 18 '15 at 0:33
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    $\begingroup$ I'm voting to close this question as off-topic because this is on Optimization, i.e., the realm of computer sciences (along the perimeters of machine learning etc.) $\endgroup$ – AliceD Jun 1 '16 at 18:48