class_docstr: Tensorforce agent interface.
class_docstr_tok: ["Tensorforce","agent","interface","."]
docstr: Returns a string representation of the network layer architecture (policy, baseline,
  state-preprocessing).
  
  Returns:
      str: String representation of network architecture.
docstr_tok: ["Returns","a","string","representation","of","the","network","layer","architecture","(","policy",",","baseline",",","state-preprocessing",")",".","Returns",":","str",":","String","representation","of","network","architecture","."]
code: def get_architecture(self):
      """
      Returns a string representation of the network layer architecture (policy, baseline,
      state-preprocessing).
  
      Returns:
          str: String representation of network architecture.
      """
      return self.model.get_architecture()
  
imports: from collections import OrderedDict
  import json
  import logging
  import os
  import random
  import numpy
  import tensorflow
  from tensorforce import util, TensorforceError
  from tensorforce.agents import Recorder
  import tensorforce.agents
  from tensorforce.core import ArrayDict, TensorSpec, TensorforceConfig
label_desc: Use image node_id 6 for calling the Agent obj's underlying member method code with example usage: obj.get_architecture() and returns: self