huggingface / huggingface/trl

Implement single-rollout asynchronous optimization

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#6,473 2 comments 0 reactions 0 assignees View on GitHub
Dominant language
Python
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Forks
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Avg merge
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Merged PRs (30d)
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Description

### Method description

https://arxiv.org/abs/2607.07508

### Open source status

- [ ] The method implementation is available
- [ ] The model weights are available
- [ ] The training datasets are available

### Provide useful links for the implementation

https://arxiv.org/abs/2607.07508

@think2try is a paper author

Contributor guide

Open the contributing guide

Research direction

Start by reading the linked paper to understand the single-rollout asynchronous optimization method, then inspect TRL's existing training entry points for the appropriate integration point. Done means the method implementation is available in the repository; the issue also records whether model weights and training datasets are available.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
25/100

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