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#! /usr/bin/python
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# -*- coding: utf-8 -*-
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""
"Monte-Carlo Policy Network π(a|s) (REINFORCE).
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To understand Reinforcement Learning, we let computer to learn how to play
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prepro
Function · 0.85
gradient
Method · 0.80
get_model
Function · 0.70
model
Function · 0.50
reset
Method · 0.45
train
Method · 0.45
step
Method · 0.45
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