multicnet.py
def select_best_action(self, stack):
        """
        Selects the action with the
        highest value
        """
        return np.argmax(self.readout_act(stack))

        Selects the action with the
        highest value
        
Selects the action with the
highest value
Selects the action with the highest value
def select_best_action(self, stack):
        return np.argmax(self.readout_act(stack))
def select_best_action ( self , stack ) : return np . argmax ( self . readout_act ( stack ) )
Selects the action with the
highest value
Selects the action with the highest value
"""
        Selects the action with the
        highest value
        """
self
stack