class_docstr: A set of predefined models to approximate Q or log of pi (policy).
  
  The loss function needs to be 'cross_entropy_with_softmax' for policy
  gradient methods.
code: def _remove_none_elements_from_list(value_list):
      return [e for e in value_list if e is not None]
  
file_path: CNTK/bindings/python/cntk/contrib/deeprl/agent/shared/models.py
imports: import cntk
  import numpy
  import ast
label_desc: Use image node_id 4 for calling the Models obj's underlying member method code with example usage: obj._remove_none_elements_from_list(value_list) and returns: unknown