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Learn Unity ML-Agents - Fundamentals of Unity Machine Learning by Micheal Lanham

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Partial observability

One of the first things to note that may not be so obvious is that our agent is no longer reliant on the full knowledge of its environment, as it was in all our other examples. In GridWorld, for instance, the agent viewed the entire play area with a camera and used the acquired images as its observation of state. But is it therefore realistic for us to assume that an agent needs to understand the whole play area of a world? Not likely, and this certainly doesn't happen in our go-to reference, nature. In nature, animals certainly don't know everything about the world—far from it. An animal only interacts with a partial view of its environment, dictated by its senses of sight, sound, touch, and so on. This allows an animal ...

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