class_docstr: Base class for stochastic policies.
  
  Args:
      temperature (parameter | dict[parameter], float >= 0.0): Sampling temperature, global or
          per action (<span style="color:#00C000"><b>default</b></span>: 1.0).
      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>.
      kldiv_reference_spec (specification):
          <span style="color:#0000C0"><b>internal use</b></span>.
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code: def entropies(self, *, states, horizons, internals, auxiliaries):
      raise NotImplementedError
  
file_path: tensorforce/tensorforce/core/policies/stochastic_policy.py
imports: import tensorflow
  from tensorforce.core import ModuleDict, parameter_modules, SignatureDict, TensorDict, TensorSpec, TensorsSpec, tf_function, tf_util
  from tensorforce.core.policies import Policy
label_desc: Use image node_id 9 for calling the StochasticPolicy obj's underlying member method code with example usage: obj.entropies() without return types