import tensorflow as tf

            self.target = tf.placeholder(tf.float32, [None,1], name="target")

            # layers
            self.value_estimate = tf.layers.dense(self.state, 1, kernel_initializer=w_init, name='v')  # estimated value for state

            # loss and optimizer
