zq 41be2f1803 fix(scoring): use float() instead of int() for continuous reward scores ...

int() truncates smoothed composite scores (0.0-1.0) to 0,
making all continuous reward values appear as failures.
This broke SkillOpt training pipelines using SmoothedCompositeReward.

2026-05-30 07:47:41 +08:00

..

__init__.py

SkillOpt v0.1.0: initial release

2026-05-21 17:22:04 +00:00

json_utils.py

SkillOpt v0.1.0: initial release

2026-05-21 17:22:04 +00:00

scoring.py

fix(scoring): use float() instead of int() for continuous reward scores

2026-05-30 07:47:41 +08:00