import numpy as np
import pandas as pd
import tensorflow as tf

class DQN:
    def __init__():
        #initialization
        return

    def _build_net(self):
        #build evaluate network
        self.s = tf.placeholder(tf.float32, [None, self.n_features], name = 's')
        self.q_target
        return

    def store_transition(s, a, r, s_):
        return

    def choose_action(self, observation):
        return

    def learn(self):
        return
