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ML-Agent ICML 2026 reproduction (#17897)
This bundle audits and partially reproduces the five requested claims for
"ML-Agent: Reinforcing LLM Agents for Autonomous Machine Learning Engineering"
(OpenReview kcPPWaoegr, arXiv 2505.23723).
The headline benchmark cannot be independently rerun from the public release: the official repository still withholds the trained checkpoint, evaluation code, RL code, and training trajectories. The bundle therefore separates:
- source verification against arXiv v1 and v2;
- release/readiness auditing at official commit
15932e7; - a disclosed proxy reproduction of the 100-to-10 diversity-selection mechanism;
- exact executable tests of both the v1 and revised v2 reward equations.
Local smoke test:
uv run --with numpy --with matplotlib scripts/audit_claims.py
uv run --with numpy --with matplotlib scripts/reproduce_mechanisms.py \
--backend hash --random-trials 1000 --output-prefix local
The GPU run uses sentence-transformers/all-MiniLM-L6-v2 embeddings in place
of the hash smoke-test backend. All results explicitly label this as a mechanism
reproduction rather than a full ML-Agent replication.
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