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Yif Yang 4f3a9bc055 docs: scope PR #25 gate_metric as opt-in example, not default
Move the soft/mixed gate-metric configuration introduced in PR #25 out of
the base default config and into a standalone example config so that
default SkillOpt runs (and paper reproduction) remain bit-for-bit on the
original hard gate.

- configs/_base_/default.yaml: drop gate_metric / gate_mixed_weight keys.
  The trainer's cfg.get("gate_metric", "hard") fallback preserves the
  original behavior unchanged.
- configs/examples/soft_gate.yaml: new standalone reference config with
  a header explaining when to consider it (small selection split with
  continuous rewards) and when not to (paper reproduction, large or
  binary-reward settings).
- README.md: add a short "Community-contributed configs" section that
  clearly flags this as user-contributed and non-default.
2026-05-30 08:09:03 +00:00
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