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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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