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[Feature] Add DiscoPOP algorithm #1796

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khalil-Hennara opened this issue Jul 3, 2024 · 3 comments
Closed

[Feature] Add DiscoPOP algorithm #1796

khalil-Hennara opened this issue Jul 3, 2024 · 3 comments
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✨ enhancement New feature or request

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@khalil-Hennara
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I've read this paper recently https://arxiv.org/abs/2406.08414, I am wandering if I can work on adding this algorithm to the framework, I want to implement for myself, but I can add it to the framework as a dependent trainer object.

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github-actions bot commented Aug 2, 2024

This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

@qgallouedec qgallouedec reopened this Aug 22, 2024
@qgallouedec qgallouedec added the ✨ enhancement New feature or request label Aug 22, 2024
@qgallouedec
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As I understand it, DiscoPOP is a meta-optimisation method, i.e. it rewrites online the objective function, among other things. I have no idea how to make it work in TRL. If you have a reference implementation or are willing to work on it, please do. I can't guarantee that it would make sense to merge it in the future, but it's certainly something that could benefit the community (maybe as a research project, or as a link in the description).

@qgallouedec
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I'm closing because this feature hasn't received any PR, and doesn't seem to be widely requested by the community. This issue may be reopened at a later date if that changes.

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