NOOA post-training readiness
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@init-nikhil is already working on this.
Since Sep 17, 2026.
area:agent
area:training
tracking
training
- Dominant language
- Python
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Description
Goal
Define and close the remaining gaps required to use NOOA agents for Gym-based post-training.
This work builds on the object-oriented agent integration in #2096 and the CLU evaluations for NOOA agents in #3453.
Scope
The initial scope is an RFC describing the target post-training architecture, required rollout contracts, integration boundaries, validation plan, and staged delivery milestones.
Features
- #3459
Success criteria
- The RFC defines how NOOA rollouts become training-ready data.
- Required model, trajectory, reward, token, and failure contracts are explicit.
- Dependencies on the existing NOOA integration and CLU evaluation work are identified.
- Reviewers can approve a concrete implementation plan with measurable readiness gates.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Assessment
This issue has not been assessed yet.