{"approach": "Chain of best responses, run 1, seed 1, smallest options (MLP 224-32-32-3 ReLU, 8,355 params fp32; ES sigma 0.02, Adam lr 0.01; current model as first opponent). d0/d1: the current rule distilled into the MLP by behaviour cloning in numpy (d1 adds a DAgger round). l1: OpenAI-ES (antithetic, centred ranks, 12 pairs x 12 matches, fitness = board score + 0.02 x HP difference) best response to the current ONNX rule, from d0, 7 min. l2: ES best response to l1 from d1, 4 min. l3: ES best response to l2, 4 min. Final: ES from l3 against the mixture {current, l1, l2, l3, Starter}, 5.5 min, kept by held-out score. Simulator: the repo's sim crate (randomize_spawns on) in my own Rust loop, ONNX opponents via ort with load-dynamic on the pip onnxruntime 1.31.1 library, zig as the C linker (no cc on the machine). The final model is weak: the chain drifted into MLPs that only beat each other, and it is not a candidate for upload.", "blocked": null, "current_vs_starter": 0.991, "records": {"starter": {"matches": 3000, "score": 0.594}, "builtins": {"matches": 800, "score": 0.119375}, "current": {"matches": 1000, "wins": 0, "losses": 1000, "draws": 0, "score": 0.0}, "exploiter": {"matches": 500, "score": 0.01, "how": "Same MLP shape, ES (16 pairs x 16 matches, sigma 0.02, Adam lr 0.01, seed 1) from the distilled rule d1 against the final model, 240 s of training (not the full 10 min, for time), best of held-out checks kept; scored by 500 fresh matches, half from each side."}}, "entry": "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", "entry_sha256": "1e114196b2119dda9af8b9a495164a27c7dcf8525d70a5f61582f6e3b5ba93db", "entry_bytes": 33747, "ops": ["Gemm", "Relu"], "tried": ["All scores per match by the board formula from the named model's side, random spawns, half from each side; held-out seeds disjoint from training seeds.", "Harness check: current entry vs Starter over 3,000 = 0.991 (seat measured 0.99333); current vs itself 0.50 over 100.", "d0, the rule distilled into 224-32-32-3 (254k states, 150 s numpy Adam): 0.9425 vs Starter over 200, 0.1025 vs current over 200. Validation yaw error 0.17, shoot agreement 97.5%.", "d1 (DAgger round: d0 flies 70% of steps, rule labels, 476k states): 0.975 vs Starter over 200, 0.0825 vs current over 200 (0.0775 over 400). A 32-wide MLP does not copy the rule well enough to fight it.", "l1, ES best response to the current rule from d0, 104 iterations in 420 s: held-out vs current 0.0825 -> best 0.1475 over 200, no trend. Failed: the rule is too strong for small perturbations of a weak clone to find signal, and ORT makes the rule the slow side (about 77 matches/s).", "l2, ES best response to l1 from d1, 611 iterations in 230 s: held-out 0.7575 -> 0.92 vs l1.", "l3, ES best response to l2 from l2, 347 iterations in 230 s: held-out 0.50 -> 0.905 vs l2.", "Final, ES from l3 against {current, l1, l2, l3, Starter}, 147 iterations in 330 s: held-out mixture 0.408 -> 0.544. Vs l1 0.505, l2 0.744, l3 0.8375 over 400 each; vs Starter 0.594 over 3,000, built-ins 0.119375 over 800, current 0 over 1,000 (all losses).", "Exploiter vs final, ES from d1 for 240 s: the starting point d1 already beat the final model 0.9825 over 200; final scores 0.01 over 500 against the exploiter. So the chain lost the rule's skill: each link learned to beat the previous MLP, not to fly well.", "ONNX export (Gemm, Relu; opset 17, Starter's input/output names) matches the native forward pass to 2.4e-4 on 1,000 inputs and gives the same match scores (fin vs Starter 0.5925 native over 400, 0.594 ONNX over 3,000)."], "next": "Do not start a best-response chain from a small clone of the rule: the first link could not beat the rule, and later links overfit to each other (final 0.0 vs current, 0.594 vs Starter, while d1 alone was 0.975 vs Starter). A next run should (1) keep the rule itself, or a far better clone (wider net with half-precision weights, more DAgger rounds), as an anchor in every link's opponent pool and require each link to keep >=0.95 vs Starter and the built-ins; (2) give the first link far more compute than 7 min of ES, e.g. PPO with batched simulation, or ES on the rule's own constants rather than on MLP weights; (3) speed up the rule opponent (about 77 matches/s through ORT here) by porting it to Rust for training only."}