old_contents: import chainer
  from chainer import links as L
  
  import q_function
  
  
  class FCTailQFunction(chainer.ChainList, q_function.StateInputQFunction):
  
      def __init__(self, head, head_output_size, n_actions):
  
          self.n_actions = n_actions
  
          layers = [
              head.copy(),
              L.Linear(head_output_size, n_actions),
          ]
  
          super(FCTailQFunction, self).__init__(*layers)
  
      def forward(self, state, test=False):
          h = self[0](state)
          return self[1](h)
  
new_contents: import chainer
  from chainer import links as L
  
  import q_function
  
  
  class FCTailQFunction(chainer.ChainList, q_function.StateInputQFunction):
  
      def __init__(self, head, head_output_size, n_actions):
  
          self.n_actions = n_actions
  
          layers = [
              head.copy(),
              L.Linear(head_output_size, n_actions, bias=0.1),
          ]
  
          super(FCTailQFunction, self).__init__(*layers)
  
      def forward(self, state, test=False):
          h = self[0](state)
          return self[1](h)
  
subject: Set bias=0.1