class_docstr: Q-function with discrete actions.
  
  Args:
      model (nn.Module):
          Model that is callable and outputs action values.
class_docstr_tok: ["Q-function","with","discrete","actions",".","Args",":","model","(","nn.Module",")",":","Model","that","is","callable","and","outputs","action","values","."]
code: def __init__(self, model):
      super().__init__()
      self.model = model
  
imports: import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from pfrl.action_value import DiscreteActionValue, DistributionalDiscreteActionValue, QuadraticActionValue
  from pfrl.functions.lower_triangular_matrix import lower_triangular_matrix
  from pfrl.initializers import init_chainer_default
  from pfrl.nn import Lambda
  from pfrl.nn.mlp import MLP
  from pfrl.q_function import StateQFunction
label_desc: Use image node_id 1 to create a new SingleModelStateQFunctionWithDiscreteAction object from inherited base classes: nn, StateQFunction with example: obj = SingleModelStateQFunctionWithDiscreteAction(model)