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Right now the neural network used for the Q(s,a) function always represents actions the same way: one graded input per action dim. We should add the following options:
treat each action as a separate output
each action as a "one hot" input
some action types as "one hot" and others as graded
The text was updated successfully, but these errors were encountered:
Right now the neural network used for the Q(s,a) function always represents actions the same way: one graded input per action dim. We should add the following options:
The text was updated successfully, but these errors were encountered: