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import numpy as np | |
import gym | |
import tensorflow as tf | |
import matplotlib.pyplot as plt | |
def weight_variable(shape): | |
initial = tf.truncated_normal(shape, stddev=0.1) | |
return tf.Variable(initial) | |
def bias_variable(shape): |