Resolve the effects of the seven unconfirmed FastSched components

Determine the effects of the seven FastSched component variants whose contributions remain unresolved across independent search seeds, including the exploration bonus, coordinated exploration, direct-Monte-Carlo feedback, fixed-shot evaluation, candidate-selection stages, acceptance margins, and action-table expansion.

Background

The paper evaluates ten component variations of the FastSched pipeline across eight circuits and four random seeds. Candidate re-evaluation, larger candidate shortlists, and importance-sampled training feedback show measurable benefits, but the remaining seven component effects are not resolved by the reported seed-bootstrap and measurement analyses. Establishing whether these components materially affect schedule quality would require further controlled experiments with greater statistical power or additional search seeds.

References

The other seven effects remain unresolved across seeds.

— Reinforcement Learning for Syndrome Extraction  (2609.12020 - Ye et al., 10 Sep 2026) in Appendix, Section “Component and Local-Improvement Studies,” paragraph “Component comparisons”

The extra pass on PropHunt cases has an unresolved effect.

— Reinforcement Learning for Syndrome Extraction  (2609.12020 - Ye et al., 10 Sep 2026) in Appendix, Section “Component and Local-Improvement Studies,” paragraph “Contribution of local improvement”