class_docstr: Tensorforce agent interface.
class_docstr_tok: ["Tensorforce","agent","interface","."]
docstr: Returns the current value of all tracked tensors (as specified by "tracking" agent
  argument). Note that not all tensors change at every timestep.
  
  Returns:
      dict[values]: Dictionary containing the current value of all tracked tensors.
docstr_tok: ["Returns","the","current","value","of","all","tracked","tensors","(","as","specified","by","``","tracking","''","agent","argument",")",".","Note","that","not","all","tensors","change","at","every","timestep",".","Returns",":","dict","[","values","]",":","Dictionary","containing","the","current","value","of","all","tracked","tensors","."]
code: def tracked_tensors(self):
      """
      Returns the current value of all tracked tensors (as specified by "tracking" agent
      argument). Note that not all tensors change at every timestep.
  
      Returns:
          dict[values]: Dictionary containing the current value of all tracked tensors.
      """
      return self.model.tracked_tensors()
  
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 11 for calling the Agent obj's underlying member method code with example usage: obj.tracked_tensors() and returns: self