code: def __init__(self, state_dim, lr=0.01):
      input_layer = tl.layers.Input([1, state_dim], name="state")
      layer = tl.layers.Dense(
          n_units=30,
          act=tf.nn.relu6,
          W_init=tf.random_uniform_initializer(0, 0.01),
          name="hidden",
      )(input_layer)
      layer = tl.layers.Dense(n_units=1, act=None, name="value")(layer)
      self.model = tl.models.Model(
          inputs=input_layer, outputs=layer, name="Critic"
      )
      self.model.train()
  
      self.optimizer = tf.optimizers.Adam(lr)
  
imports: import argparse
  import time
  import matplotlib.pyplot
  import os
  import gym
  import numpy
  import tensorflow
  import tensorlayer
label_desc: Use image node_id 1 to create a new Critic object from inherited base classes: object with example: obj = Critic(state_dim, lr)