class_docstr: Base class for optimizers.
  
  Args:
      name (string): (<span style="color:#0000C0"><b>internal use</b></span>).
      arguments_spec (specification): <span style="color:#0000C0"><b>internal use</b></span>.
code: def __init__(self, *, name=None, arguments_spec=None):
      super().__init__(name=name)
  
      self.arguments_spec = arguments_spec
  
      self.is_initialized_given_variables = False
  
file_path: tensorforce/tensorforce/core/optimizers/optimizer.py
imports: import tensorflow
  from tensorforce.core import Module, SignatureDict, TensorSpec, TensorsSpec, tf_function, tf_util
label_desc: Use image node_id 1 to create a new Optimizer object from inherited base classes: Module with example: obj = Optimizer()