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Hi @mhauskn. Thanks a lot for your work. I’m curious about one thing. By HFO manual, there are 58(+1) state features for only-one-offense-player setting, but these features are over complete, as written in the manual. For example, we only need 2 features to locate the position of one player, but there are much more Landmark and Proximity features. Have you considered or tried using fewer state features?
The text was updated successfully, but these errors were encountered:
Hi Hongjie, you are correct - the features in HFO are designed to be
overcomplete, because neural networks are able to handle redundant
information gracefully. I have not tried using fewer state features, but I
suspect that it would be entirely possible.
On Tue, Aug 7, 2018 at 3:15 PM Hongjie ***@***.***> wrote:
Hi @mhauskn <https://github.com/mhauskn>. Thanks a lot for your work. I’m
curious about one thing. By HFO manual, there are 58(+1) state features for
only-one-offense-player setting, but these features are over complete, as
written in the manual. For example, we only need 2 features to locate the
position of one player, but there are much more *Landmark* and *Proximity*
features. Have you considered or tried using fewer state features?
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Hi @mhauskn. Thanks a lot for your work. I’m curious about one thing. By HFO manual, there are 58(+1) state features for only-one-offense-player setting, but these features are over complete, as written in the manual. For example, we only need 2 features to locate the position of one player, but there are much more Landmark and Proximity features. Have you considered or tried using fewer state features?
The text was updated successfully, but these errors were encountered: