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Why we have self.Q = tf.reduce_sum(tf.multiply(self.output, self.actions_), axis=1) ? #61

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Meur-sault opened this issue Jun 16, 2019 · 0 comments
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Why we have self.Q = tf.reduce_sum(tf.multiply(self.output, self.actions_), axis=1) ? #61

Meur-sault opened this issue Jun 16, 2019 · 0 comments

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@Meur-sault
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Meur-sault commented Jun 16, 2019 •
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Hi Thomas,

(Since this issue got resolved without any proper answer, I'm submitting it again.)
I don't understand that why we are doing tf.reduce_sum and multiple the network output to action.

self.Q = tf.reduce_sum(tf.multiply(self.output, self.actions_), axis=1)

Why aren't we considering self.output as predicted Q value.
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