Integrate RL auto-tuner into Lighthouse
Open
- Dominant language
- Python
- Stars
- 55
- Forks
- 19
- Avg merge
- 1d 23h
- Merged PRs (30d)
- 15
Description
As seen in MLIR workshop:
* https://llvm.swoogo.com/2026eurollvm/session/4050964/multi-stage-sequential-rl-for-mlir-meta-optimization
@prakanth97
Contributor guide
No contributing guide indexed for this repository
Research direction
Start with the linked MLIR workshop session to understand the proposed multi-stage sequential RL approach, then inspect Lighthouse's existing tuning entry points. The issue names no files or tests, so define the integration scope and success criteria before implementation; done should mean the agreed RL auto-tuner is integrated and demonstrably runs within Lighthouse.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- compilers, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100