# Стенд-проверка (stage-2) · промт оператора: (универсальный) Ответ агента: { "worked": false, "confidence": 9, "verdict": "Implemented the Koopman-generator HJB critic with a learned control-affine generator and HJB residual training on the structurally matched dynamics track, using the shared rnn_small architecture. The mechanism signature was confirmed, but the best idea result was significantly worse than the tuned baseline: paired delta +4.0983e-6 with permutation p=0.0081, so the idea does not give a benchmark win.", "metrics": { "baseline": "mean test MSE 0.0003191903 across 8 seeds; best lr=0.01", "idea": "mean test MSE 0.0003232886 across 8 seeds; lr=0.01, lambda_hjb=0.001", "paired_delta": "+0.0000040983 (idea worse)", "permutation_p": "0.0081", "mechanism_signature": "confirmed=true; observed derivative RMS 0.1218762; observed HJB residual RMS 0.5597087" }, "how_to_run": "python3 stage2_bench.py", "files": [ "stage2_bench.py", "bench_report.json" ], "bench_report": { "bench_version": 1, "track": "dynamics", "model": "rnn_small", "metric_direction": "lower is better", "n_seeds": 8, "baseline": { "best_cfg": { "lr": 0.01 }, "sweep": [ { "cfg": { "lr": 0.001 }, "mean": 0.0013855277 }, { "cfg": { "lr": 0.003 }, "mean": 0.0007753434 }, { "cfg": { "lr": 0.01 }, "mean": 0.000377189 } ], "full": { "mean": 0.0003191903, "std": 0.0001565298, "per_seed": [ 0.0002315083, 0.0002924909, 0.0003051548, 0.0006796021, 0.0004163996, 0.0001304824, 0.0002129691, 0.0002849152 ], "n": 8 } }, "idea": { "mean": 0.0003232886, "std": 0.0001582579, "per_seed": [ 0.0002392453, 0.0002927184, 0.0003065642, 0.0006889367, 0.0004203167, 0.0001327297, 0.0002158055, 0.0002899922 ], "n": 8 }, "comparison": { "delta_mean": 4.0983e-06, "idea_wins": 0, "n_pairs": 8, "p_value": 0.0081, "verdict": "idea worse (significant)", "system_worked": false }, "idea_config": { "lr": 0.01, "lambda_hjb": 0.001 }, "mechanism_signature": { "confirmed": true, "observed_derivative_rms": 0.1218762, "observed_hjb_residual_rms": 0.5597087 } }, "limitations": "Only the built-in actuated-pendulum rollout track was tested; no online RL return, long-horizon boundedness, neural dictionary encoder, alternative HJB weights, or larger architectures were evaluated.", "system_verdict": "partial", "practical_verdict": "harms", "mechanism_ok": 1, "system_judged": true }