do that by de Rais because it has a lsdm which gives a memory and so you can remember places been before and things has tried before to more efficiently find the next new location where there might be a fruit it hasn't collected yet and so the reason I'm showing these specific results here is because the space of well reinforced planning in general but especially representation and reinforcement learning does the evaluations aren't all in the same type of environments there's a lot of variation how these things get evaluated