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docs/guideline
SkillOpt/skillopt/gradient
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zq a62ec857f1 fix(reflect): support continuous reward scores in failure filtering
not r.get("hard") treats non-zero floats as success.
Add explicit float threshold check (< 1e-9).
Backward compatible with binary hard=0/1.
2026-05-29 19:04:42 +08:00
..
__init__.py
refactor: rename teacher/student to optimizer/target, remove best skills, fix slow update
2026-05-24 19:15:10 +00:00
aggregate.py
refactor: rename teacher/student to optimizer/target, remove best skills, fix slow update
2026-05-24 19:15:10 +00:00
reflect.py
fix(reflect): support continuous reward scores in failure filtering
2026-05-29 19:04:42 +08:00
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