{"approach": "MLP 224-64-64-3 (ReLU, Gemm; weights stored float16 and Cast to float; 18,947 parameters, input normalisation folded into layer 1). Distilled from the current rule entry (IMD seat 798) by behaviour cloning on 125k decisions of the rule flying against Starter, the four built-ins and itself, plus one DAgger round (130k decisions with the copy flying, 30% rule actions, labelled by the rule). Then improved by antithetic evolution strategies (24 pairs, sigma 0.02, Adam, rank fitness = board score + 0.05 x HP difference/5, common random seeds per generation) against a pool of the current rule, Starter, the four built-ins, the distilled copy and a frozen copy of itself, about 10 + 9 minutes on 12 cores. All random choices seeded with 4. Simulator: the repo's own SimState with randomize_spawns, built with Rust in .cache; every record below was measured on the exported ONNX file via ONNX Runtime, on seeds not used in training.", "blocked": null, "current_vs_starter": 0.9903333333333333, "records": {"starter": {"matches": 3000, "score": 0.9865833333333334}, "builtins": {"matches": 800, "score": 0.9534375}, "current": {"matches": 1000, "wins": 498, "losses": 466, "draws": 36, "score": 0.516}, "exploiter": {"matches": 500, "score": 0.074, "how": "Same 224-64-64-3 MLP initialised from the final model's weights, trained 570 s by the same evolution strategies (24 pairs, sigma 0.03, 24 matches per candidate) only against the final ONNX model. Final model won 36, lost 462, drew 2 of 500 held-out matches. The exploiter itself scores 0.871 against Starter over 400."}}, "entry": 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", "entry_sha256": "de9a088f9d2a18239c755829ce49ccba58b55d4d45ea3a8451e9ef548b94c447", "entry_bytes": 38026, "ops": ["Cast", "Gemm", "Relu"], "tried": ["Harness check: current rule vs Starter 0.9903333 over 3,000 random-spawn matches (2,971 kills, 29 losses); its seat measured 0.9933.", "Behaviour cloning, 125k rule decisions, 40 epochs: copy scores 0.933 vs Starter (300) but 0.05 vs the rule (200); shot-decision accuracy 97%.", "One DAgger round (+130k decisions, beta 0.3): 0.9475 vs Starter (400), 0.153 vs the rule (300). The copy does not yet fly as well as the rule.", "ES round 1 (10 min, pool rule/Starter/self/built-ins): 0.988 vs Starter (400), 0.535 vs the rule (300); on fresh seeds 0.9825 (600) and 0.488 (600).", "ES round 2 from round 1 (9 min, pool adds the BC copy): 0.989 vs Starter (600), 0.532 vs the rule (600), 0.734 vs round 1 (400). Chosen as final.", "Final as ONNX: 0.98658 vs Starter (3,000), 0.95344 vs built-ins (800, 93 HP wins pull it below the rule's 1.0), 0.516 vs the rule (1,000: 498-466-36).", "BEST (final, with its weakness): a 570 s ES exploiter seeded from the final model beats it 0.926 (final 0.074 over 500), far worse than the rule's 0.9875 against its seat's exploiter. The network is level with the rule but brittle to a copy of itself tuned against it."], "next": "Do not upload this model: it only ties the rule (0.516) and a 10-minute exploiter beats it 93%. The method works (BC+DAgger then ES moved the copy from 0.15 to 0.53 against the rule in 20 minutes), so continue it as a league: alternate ES rounds of the main network against a growing hall of fame of exploiters (each exploiter trained ~10 min from the latest main), the rule and Starter, and judge each round against a fresh exploiter. Keep the HP-shaping small and add kill-rate pressure on built-ins (93 of 800 were HP wins). Lesson on this machine: torch with 12 threads ran 50x slower than with 2."}