class_docstr: Tensorforce agent interface.
class_docstr_tok: ["Tensorforce","agent","interface","."]
docstr: Returns the initial internal agent state(s), to be used at the beginning of an episode as
  `internals` argument for `act()` in independent mode
  
  Returns:
      dict[internal]: Dictionary containing initial internal agent state(s).
docstr_tok: ["Returns","the","initial","internal","agent","state","(","s",")",",","to","be","used","at","the","beginning","of","an","episode","as","`","internals","`","argument","for","`","act","(",")","`","in","independent","mode","Returns",":","dict","[","internal","]",":","Dictionary","containing","initial","internal","agent","state","(","s",")","."]
code: def initial_internals(self):
      """
      Returns the initial internal agent state(s), to be used at the beginning of an episode as
      `internals` argument for `act()` in independent mode
  
      Returns:
          dict[internal]: Dictionary containing initial internal agent state(s).
      """
      return self.model.initial_internals.to_dict()
  
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 10 for calling the Agent obj's underlying member method code with example usage: obj.initial_internals() and returns: self