class_docstr: Ornstein-Uhlenbeck process (specification key: `ornstein_uhlenbeck`).
  
  Args:
      theta (float > 0.0): Theta value
          (<span style="color:#00C000"><b>default</b></span>: 0.15).
      sigma (float > 0.0): Sigma value
          (<span style="color:#00C000"><b>default</b></span>: 0.3).
      mu (float): Mu value
          (<span style="color:#00C000"><b>default</b></span>: 0.0).
      absolute (bool): Absolute value
          (<span style="color:#00C000"><b>default</b></span>: false).
      name (string): <span style="color:#0000C0"><b>internal use</b></span>.
      dtype (type): <span style="color:#0000C0"><b>internal use</b></span>.
      min_value (dtype-compatible value): <span style="color:#0000C0"><b>internal use</b></span>.
      max_value (dtype-compatible value): <span style="color:#0000C0"><b>internal use</b></span>.
code: def final_value(self):
      return self.spec.py_type()(self.mu)
  
file_path: tensorforce/tensorforce/core/parameters/ornstein_uhlenbeck.py
imports: import tensorflow
  from tensorforce.core import TensorSpec, tf_util
  from tensorforce.core.parameters import Parameter
label_desc: Use image node_id 3 for calling the OrnsteinUhlenbeck obj's underlying member method code with example usage: obj.final_value() and returns: self