class_docstr: Struct that holds state-fixed Q-functions and its subproducts.
  
  Every operation it supports is done in a batch manner.
class_docstr_tok: ["Struct","that","holds","state-fixed","Q-functions","and","its","subproducts",".","Every","operation","it","supports","is","done","in","a","batch","manner","."]
docstr: Learnable parameters of this action value.
  
  Returns:
      tuple of torch.Tensor
docstr_tok: ["Learnable","parameters","of","this","action","value",".","Returns",":","tuple","of","torch.Tensor"]
code: def params(self):
      """Learnable parameters of this action value.
  
      Returns:
          tuple of torch.Tensor
      """
      raise NotImplementedError()
  
imports: import warnings
  from abc import ABCMeta, abstractmethod, abstractproperty
  import torch
  import torch.nn.functional
  from torch.distributions.utils import lazy_property
label_desc: Use image node_id 4 for calling the ActionValue obj's underlying member method code with example usage: obj.params() without return types