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feat/skill-aware-reflection
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2 Commits

Author SHA1 Message Date
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
CharlesYang030
244e346b83 SkillOpt v0.1.0: initial release 
- Skill optimization framework with training loop analogy
- 11 benchmarks, 4 model backends (Azure OpenAI, Claude, Codex, Qwen)
- WebUI for browser-based training control
- Pluggable architecture for extending benchmarks and backends
 2026-05-21 17:22:04 +00:00