code: def model(inpt, num_actions, scope, reuse=False):
      
      with tf.variable_scope(scope, reuse=reuse):
          out = inpt
          out = layers.fully_connected(out, num_outputs=64, activation_fn=tf.nn.tanh)
          out = layers.fully_connected(out, num_outputs=num_actions, activation_fn=None)
          return out
docs: This model takes as input an observation and returns values of all actions.