class_docstr: Neural Network to solve Atari problem.
  
  Args:
      act_dim (int): Dimension of action space.
      dueling (bool): True if use dueling architecture else False
code: def reset_params(self):
      for m in self.modules():
          if isinstance(m, (nn.Linear, nn.Conv2d)):
              nn.init.kaiming_normal_(
                  m.weight, mode="fan_out", nonlinearity="relu"
              )
              nn.init.zeros_(m.bias)
  
imports: import torch.nn
  import parl
label_desc: Use image node_id 2 for calling the AtariModel obj's underlying member method code with example usage: obj.reset_params() without return types