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awjuliani/egreedy.py Secret

Created November 13, 2016 00:29
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egreedy.py
e = 0.1
if np.random.rand(1) < e:
action = env.action_space.sample()
else:
Q_dist = sess.run(Q_out,feed_dict={inputs:[state]})
action = np.argmax(Q_dist)
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