Ah, ok. In that case though, the other agent wins at this game at the expense of failing at some other game. Depending on what types of games the agent is likely to encounter, this agents effectiveness may or may not actually be better than BestDecisionAgent. So we could possibly have an optimal decision agent in the sense that no change to its algorithm could increase its expected lifetime utility, but not to the extent of not failing in any game.