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Co-authored-by: andrewcoh <54679309+andrewcoh@users.noreply.github.com>
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is processed using an attention module. More information about attention
mechanisms can be found [here](https://arxiv.org/abs/1706.03762). Training or
doing inference with variable length observations can be slower than using
a flat vector observation, but can allow you to represent more complex problems
a flat vector observation. However, attention mechanisms enable solving problems that require comparative reasoning between entities in a scene
such as our [Sorter environmentt](Learning-Environment-Examples.md#sorter).
Note that even though the `BufferSensor` can process a variable number of
entities, you still need to define a maximum number of entities. This is

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