class_docstr: Base class for action-value functions, here categorized as "degenerate" policy.
  
  Args:
      device (string): Device name
          (<span style="color:#00C000"><b>default</b></span>: inherit value of parent module).
      l2_regularization (float >= 0.0): Scalar controlling L2 regularization
          (<span style="color:#00C000"><b>default</b></span>: inherit value of parent module).
      name (string): <span style="color:#0000C0"><b>internal use</b></span>.
      states_spec (specification): <span style="color:#0000C0"><b>internal use</b></span>.
      auxiliaries_spec (specification): <span style="color:#0000C0"><b>internal use</b></span>.
      actions_spec (specification): <span style="color:#0000C0"><b>internal use</b></span>.
code: def __init__(
      self,
      *,
      device=None,
      l2_regularization=None,
      name=None,
      states_spec=None,
      auxiliaries_spec=None,
      actions_spec=None,
  ):
      BasePolicy.__init__(
          self=self,
          device=device,
          l2_regularization=l2_regularization,
          name=name,
          states_spec=states_spec,
          auxiliaries_spec=auxiliaries_spec,
          actions_spec=actions_spec,
      )
  
imports: from tensorforce.core import SignatureDict, TensorSpec, tf_function
  from tensorforce.core.policies import BasePolicy
label_desc: Use image node_id 1 to create a new ActionValue object from inherited base classes: BasePolicy with example: obj = ActionValue()