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come up with a bunch of heuristics you can do those manually or you could do those through learning so the idea that was presented is to use neural networks
as heuristics in a similar way that neural networks were used as heuristics in the multicarlo tree search for mu 0 and alpha 0 to play different games to
play go to play chess this allows you to significantly prune the search through action space for a plan that doesn't get stuck in the
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