{"approach": "The current entry's own ONNX graph (same 18 operators, same wiring, 18,930 bytes) with its 65 scalar constants re-tuned by a league in one task, seed 5. Simulator: repository crates dogfight-sim/shared built with Rust under .cache/ (sim only, no ONNX Runtime, so no OpenSSL needed); the rule graph and the Starter network were re-implemented natively in Rust and checked by the harness number (current vs Starter). League pool: current rule, Starter network, the four built-ins, and per round a head-only exploiter of the champion (Starter backbone, evolved 771-number head), a generalist network head evolved against the whole pool, and the tuned rule champions. Rule constants were tuned by antithetic evolution strategies (rank-normalised) against 0.6*mean+0.4*min of the score over the pool, accepted only if the worst case on held-out seeds (200 matches per pool member) did not get worse. Three rounds were run (round 0 was a 1-second accidental run of the round command, accepted because it passed the same gate), pool grew from 6 to 14 members. The submitted model is the third accepted champion.", "blocked": null, "current_vs_starter": 0.9895, "records": {"starter": {"matches": 3000, "score": 0.99516666}, "builtins": {"matches": 800, "score": 1.0}, "current": {"matches": 1000, "wins": 639, "losses": 226, "draws": 135, "score": 0.7065}, "exploiter": {"matches": 500, "score": 0.4005, "how": "Head-only evolution strategy on Starter: backbone of starter.onnx frozen, the 771-number output head evolved for 480 s (about 9 minutes, not 10, to fit the tool time limit) on 8 cores, 32 candidates per generation, 12 matches each with random spawns, fitness = score + 0.15*share of hits landed, against the final model. Score is the final model's score against that exploiter over 500 fresh matches (seeds unseen in training)."}}, "entry": 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"entry_sha256": "b74fd2a7ffa356810392f2ff3400a6a4dbdba2937f60c0cc8e0b047ae8998503", "entry_bytes": 18930, "ops": ["Abs", "Add", "Atan", "Cast", "Concat", "Cos", "Div", "Gather", "Greater", "Max", "Min", "Mul", "Neg", "Sin", "Split", "Sqrt", "Sub", "Where"], "tried": ["Harness check: current entry vs Starter over 3,000 random-spawn matches = 0.9895 (seat measured 0.9933); my native Rust re-implementation of its graph.", "Head-only exploiter of the current entry, 40 s: 0.014 for the exploiter; 150 s in round 1: 0.050; a 240 s one at the end: 0.092. The current entry is hard for this kind of exploiter at short budgets.", "Round 1 (exploiter 150 s, generalist 60 s, rule tune 240 s): tuned rule beat current 0.646 over 1,000 fresh matches; pool worst case vs current 0.50 -> 0.61 on 200 held-out matches.", "Round 2 (exploiter 120 s, generalist 30 s, tune 300 s): champion beat current 0.725 and the earlier champions 0.71 to 0.72 on 200 held-out matches each; pool mean 0.907 -> 0.925, worst 0.50 -> 0.71.", "Final champion: 0.9952 vs Starter (3,000), 1.0000 vs the four built-ins (800), 0.7065 vs current over 1,000 (639 wins, 226 losses, 135 draws; sides alternate).", "Weakness found (500 matches, same fresh seeds): the 480 s head exploiter trained against the final model leaves the final model at 0.4005, but leaves the current entry at 0.879. A 240 s exploiter trained against the current entry leaves the current entry at 0.908 and the final model at 0.969. So the final model beats the current entry head to head (0.7065) yet is more exploitable by a network trained specifically against it; the exploiters had different budgets and targets, so the comparison is not like for like.", "Not done: no ONNX Runtime run of the exported file (only constants of the current graph changed, onnx.checker passes); the league covers 14 pool members and about 3 rounds in under 90 minutes of work, not the 5+ rounds the method wants."], "next": "Upload only if the operator accepts the risk shown by the exploiter record: the model wins head to head against the current entry (about 0.70) but a targeted network exploiter beats it. Next seat: run a longer exploiter training against both models (10+ minutes, full network not just the head), add the exploiter's trajectories as a tuning opponent and tune only against held-out exploiters, then distill into a plain MLP. Run the exported ONNX in ONNX Runtime against the Rust graph on a few thousand observations before upload."}