(self, trajectory, values)
return NotImplementedError
Create inputs to policy model from a TimeStepBatch and values.

    Args:
      trajectory: a TimeStepBatch, the trajectory to create inputs from
      values: a numpy array: value function computed on trajectory

    Returns:
      a tuple of numpy arrays of the form (inputs, x1, x2, ...) that will be
      passed to the policy model; policy model will compute outputs from
      inputs and (outputs, x1, x2, ...) will be passed to self.policy_loss
      which should be overridden accordingly.
Create inputs to policy model from a TimeStepBatch and values.
Create inputs to policy model from a TimeStepBatch and values .
def policy_inputs(self, trajectory, values):
    """Create inputs to policy model from a TimeStepBatch and values.

    Args:
      trajectory: a TimeStepBatch, the trajectory to create inputs from
      values: a numpy array: value function computed on trajectory

    Returns:
      a tuple of numpy arrays of the form (inputs, x1, x2, ...) that will be
      passed to the policy model; policy model will compute outputs from
      inputs and (outputs, x1, x2, ...) will be passed to self.policy_loss
      which should be overridden accordingly.
    """
    return NotImplementedError
def policy_inputs ( self , trajectory , values ) : return NotImplementedError