class_docstr: Simple feed forward policy network.
  
  :param obs_shapes: The shapes of all observations as a dict.
  :param action_logits_shapes: The shapes of all actions as a dict structure.
  :param hidden_layer_0: The number of units in layer 0.
  :param hidden_layer_1: The number of units in layer 1.
  :param use_bias: Specify whether to use a bias in the linear layers.
docstr: Reset the parameters of the Model
code: def reset_parameters(self) -> None:
      """Reset the parameters of the Model"""
  
      self.l0.reset_parameters()
      self.l1.reset_parameters()
      self.l1.reset_parameters()
  
file_path: maze/docs/source/policy_and_value_networks/code_snippets/custom_plain_cartpole_policy_net.py
imports: from typing import Dict, Sequence
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the CustomPlainCartpolePolicyNet obj's underlying member method code with example usage: obj.reset_parameters() without return types