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SkillOpt/skillopt/sleep/experiments
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Yifan Yang 1d20e9db14 chore(sleep): include quick-answerer (tool loop) in the sweep direct plan
All 4 gbrain skillopt-v1 seeds are now in the sweep, matching gbrain's full
scorecard coverage.

Co-Authored-By: Claude Opus 4 <noreply@anthropic.com>
2026-06-08 14:31:51 +00:00
..
__init__.py
feat(sleep): nightly offline self-evolution engine + Claude Code plugin
2026-06-08 14:31:51 +00:00
gbrain_bench.py
feat(sleep): real claude + codex backends, gbrain-evals benchmark, rule judges
2026-06-08 14:31:51 +00:00
personas.py
feat(sleep): nightly offline self-evolution engine + Claude Code plugin
2026-06-08 14:31:51 +00:00
report.py
feat(sleep): sweep 'direct' plan uses strong-optimizer/weak-target dual config
2026-06-08 14:31:51 +00:00
run_experiment.py
feat(sleep): real claude + codex backends, gbrain-evals benchmark, rule judges
2026-06-08 14:31:51 +00:00
run_gbrain.py
feat(sleep): optimizer/target model split, transfer experiment, LLM miner
2026-06-08 14:31:51 +00:00
run_transfer.py
feat(sleep): optimizer/target model split, transfer experiment, LLM miner
2026-06-08 14:31:51 +00:00
sweep.py
chore(sleep): include quick-answerer (tool loop) in the sweep direct plan
2026-06-08 14:31:51 +00:00
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