original_docstring: r"""
          Overview:
              Return the sum of advantage and the value according to the input from hidden layers
          Arguments:
              - x (:obj:`torch.Tensor`): the input from hidden layers
          Returns:
              - return (:obj:`torch.Tensor`): the sum of advantage and value
          
docstring: r"""
  Overview:
  Return the sum of advantage and the value according to the input from hidden layers
docstring_tokens: r " " " Overview : Return the sum of advantage and the value according to the input from hidden layers
code: def forward(self, x: torch.Tensor) -> torch.Tensor:
          r"""
          Overview:
              Return the sum of advantage and the value according to the input from hidden layers
          Arguments:
              - x (:obj:`torch.Tensor`): the input from hidden layers
          Returns:
              - return (:obj:`torch.Tensor`): the sum of advantage and value
          """
          a = self.A(x)
          v = self.V(x)
          return a - a.mean(dim=-1, keepdim=True) + v
code_tokens: def forward ( self , x : torch . Tensor ) -> torch . Tensor : a = self . A ( x ) v = self . V ( x ) return a - a . mean ( dim = - 1 , keepdim = True ) + v
short_docstring: r"""
  Overview:
  Return the sum of advantage and the value according to the input from hidden layers
short_docstring_tokens: r " " " Overview : Return the sum of advantage and the value according to the input from hidden layers
comment: r"""
          Overview:
              Return the sum of advantage and the value according to the input from hidden layers
          Arguments:
              - x (:obj:`torch.Tensor`): the input from hidden layers
          Returns:
              - return (:obj:`torch.Tensor`): the sum of advantage and value
          """