人工智能：如果存在“顺序决策”这样的东西？任务中，“非顺序决策”的作用是什么？任务是什么样的？
我听说神经网络在实现顺序决策任务的解决方案时非常好。然而，我假设限定词“顺序”存在，因为同样必须存在一个“非顺序”领域。只是想知道是否有一些人们头脑中知道的标准的、规范的例子。谢谢 ：）
I have heard that neural networks are very good when implementing solutions to sequential-decision tasks. However, I assume that the qualifier "sequential" exists because there must likewise be a "non-sequential" realm. Just wondering if there were some standard, canonical examples some people knew of the top of their head. Thanks :)
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驾驶是顺序任务的一个很好的例子：你总是在决定是直行、左转还是右转。它是顺序的，因为车辆存在一些不确定性；您可能会直行，但汽车会稍微向右行驶。当您注意到这一点时，您可以通过稍微向左转向来纠正。不可能提前做出所有决定，闭上眼睛，开车而不发生车祸。
规划从 A 到 B 的路径是非顺序任务的一个示例（例如，Google 地图）。你知道地图，你知道起点和终点。目标，并且您了解道路网络。您可以立即做出所有决定（不按顺序）并完成任务（找到路径）。
更一般地说，只要你有一些不确定性并观察到一些事情，你就会做出连续的决定，然后做出适当的反应。从机器学习的角度来看，这就是监督学习和在线学习之间的区别。
Driving is a good example of a sequential task: You are always deciding whether to steer straight, left, or right. It is sequential because there is some uncertainty in the vehicle; you might steer straight but the car goes a little bit to the right. When you notice this, you correct by steering a little to the left. There would be no way to make all the decisions ahead of time, close your eyes, and drive without crashing.
Planning a path from A to B is an example of a non-sequential task (e.g., Google maps). You know the map, you know the start & goal, and you know the road network. You can make all decisions at once (not sequential) and complete the task (finding a path).
More generally, you'll be making sequential decisions anytime you have some uncertainty and observe something, then react appropriately. From a machine learning perspective, this is the difference between Supervised learning and Online learning.
认出你母亲的照片。决定早餐吃什么。提出非顺序决策任务的例子。
Recognizing a picture of your mother. Deciding what you're going to have for breakfast. Coming up with examples of non-sequential decision tasks.