def updateQTableFromTerminatingState( self, reward ):
        """Change q_table to reflect what we have learnt, after reaching a terminal state."""
        
        # retrieve the old action value from the Q-table (indexed by the previous state and the previous action)
        old_q = self.q_table[self.prev_s][self.prev_a]
        
        # TODO: what should the new action value be?
        new_q = old_q
        
        # assign the new action value to the Q-table
        self.q_table[self.prev_s][self.prev_a] = new_q