class_docstr: The policy action distribution of an agent.
  
  Attributes:
      inputs: input vector to compute samples from.
      model (ModelV2): reference to model producing the inputs.
class_docstr_tok: ["The","policy","action","distribution","of","an","agent",".","Attributes",":","inputs",":","input","vector","to","compute","samples","from",".","model","(","ModelV2",")",":","reference","to","model","producing","the","inputs","."]
docstr: The entropy of the action distribution.
docstr_tok: ["The","entropy","of","the","action","distribution","."]
code: def entropy(self) -> TensorType:
      """The entropy of the action distribution."""
      raise NotImplementedError
  
file_path: ray/python/ray/rllib/models/action_dist.py
imports: import numpy
  import gymnasium
  from ray.rllib.models.modelv2 import ModelV2
  from ray.rllib.utils.annotations import DeveloperAPI
  from ray.rllib.utils.typing import TensorType, List, Union, ModelConfigDict
label_desc: Use image node_id 7 for calling the ActionDistribution obj's underlying member method code with example usage: obj.entropy() without return types