Because the agent does not directly

Because the agent does not directly observe the environment's state, the agent must make decisions under uncertainty of the true environment state. However, by interacting with the environment and receiving observations, the agent may update its belief in the true state by updating the probability distribution of the current state. A consequence of this property is that the optimal behavior may often include information gathering actions that are taken purely because they improve the agent's estimate of the current state, thereby allowing it to make better decisions in the future.

It is instructive to compare the above definition with the definition of a Markov decision process. An MDP does not include the observation set, because the agent always knows with certainty the environment's current state. Alternatively, an MDP can be reformulated as a POMDP by setting the observation set to be equal to the set of states and defining the observation conditional probabilities to deterministically select the observation that corresponds to the true state.

結果 (繁體中文) 1:

因為代理不直接觀察的環境狀態，代理必須做出決定不確定性條件下的真實環境狀態。然而，通過與環境相互作用和接收意見，代理可能通過更新的目前狀態的概率分佈來更新其信仰的真實狀態。此屬性的結果是最優的行為往往可能包括資訊收集純粹是因為它們能夠提高經紀人的估計的目前狀態，從而使它能夠在將來取得更好的決定採取的行動。它是上述定義的瑪律可夫決策過程的定義有一定的啟發。MDP 不包括觀察組，因為代理總是肯定地知道，環境的目前狀態。另外，觀察設置為相等的狀態集，並定義觀察條件概率確定性選擇對應的真實狀態的觀察，就可以把 MDP 改寫為 POMDP。

結果 (繁體中文) 3:

因為代理不直接觀察環境的狀態，代理必須在不確定的環境狀態下做出决定。然而，通過與環境和接收觀測，代理可以更新它的信念，通過更新的概率分佈的當前狀態的真實狀態。此内容的結果是，最佳的行為可能會經常包括資訊收集行動，採取純粹是因為他們提高了代理的估計，現時的狀態，從而使其作出更好的决定，在未來。MDP不包括觀察集，因為代理總是肯定地知道環境的當前狀態。另外，MDP可以重新設定設定為等於狀態的設定和定義的觀察條件概率來確定選擇對應於真實狀態的觀察觀察POMDP。