class_docstr: Generic solver which *iteratively* solves an equation/optimization problem. Involves an  
  initialization step, the iteration loop body and the termination condition.
docstr: Initialization step preparing the arguments for the first iteration of the loop body.
  
  Args:
      arguments: ???
      x_init: Initial solution guess $x_0$.
      *args: Additional solver-specific arguments.
  
  Returns:
      Initial arguments for step.
code: def start(self, *, arguments, x_init, **kwargs):
      """
      Initialization step preparing the arguments for the first iteration of the loop body.
  
      Args:
          arguments: ???
          x_init: Initial solution guess $x_0$.
          *args: Additional solver-specific arguments.
  
      Returns:
          Initial arguments for step.
      """
      return (arguments, x_init) + tuple(kwargs.values())
  
file_path: tensorforce/tensorforce/core/optimizers/solvers/iterative.py
imports: import tensorflow
  from tensorforce.core import parameter_modules, tf_util
  from tensorforce.core.optimizers.solvers import Solver
label_desc: Use image node_id 4 for calling the Iterative obj's underlying member method code with example usage: obj.start() and returns: unknown