{"approach": "Hand-built rule, same graph and op set as the current entry (auto-translated node by node to Rust for search, then written back as ONNX), with the current rule's 34 tuned constants re-tuned by antithetic evolution strategies in three league rounds: against the current entry, rule exploiters trained against each round's champion (constant-tuned copies of the rule), earlier champions and Starter. Every candidate was judged on held-out seeds and the final one picked for its worst-case score across that pool. It is not robust to neural exploiters: see tried and next. Two structural additions, a low-HP stall guard and early fire when the opponent points at us, stay in the graph but are tuned off (switch constants near 0) because neither beat noise. Harness: the repo's own sim crate (SimState, observe, step, outcome) in a loop identical to run_match minus replay frames, randomize_spawns on, each spawn played from both sides; Starter re-implemented natively (max output difference 2.9e-6 against onnxruntime, no shoot-flag mismatches).", "blocked": null, "current_vs_starter": 0.991, "records": {"starter": {"matches": 3000, "score": 0.9986666666666667}, "builtins": {"matches": 800, "score": 0.999375}, "current": {"matches": 1000, "wins": 521, "losses": 392, "draws": 87, "score": 0.5645}, "exploiter": {"matches": 500, "score": 0.212, "how": "The current rule's 34 tuned constants evolved (antithetic ES, 24 per generation, 200 matches each, 120 s) against our final model. Strongest of: rule 0.2120; mirror 0.4500; rule 0.4550; mirror 0.6010; neural 0.7595; neural 0.7765 (our score over the same 500 matches)."}}, "entry": 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5EgRuNDIxIgNNdWwKFwoEbjQyMAoEbjQyMRIEbjQyMiIDQWRkChIKBG40MjISBG40MjMiBFNxcnQKFgoEbjQyMwoDYzIxEgRuNDI1IgNBZGQKFgoDaW4xCgRuNDA5EgRuNDI2IgNNdWwKFgoDaW4yCgRuNDA3EgRuNDI3IgNNdWwKFwoEbjQyNgoEbjQyNxIEbjQyOCIDU3ViChYKA2luMQoEbjQwNxIEbjQyOSIDTXVsChYKA2luMgoEbjQwORIEbjQzMCIDTXVsChcKBG40MjkKBG40MzASBG40MzEiA0FkZAoRCgRuNDMxEgRuNDMzIgNBYnMKGwoEbjQzMwoDYzIyEgVuNDM0YiIHR3JlYXRlcgoeCgVuNDM0YhIEbjQzNCIEQ2FzdCoJCgJ0bxgBoAECChoKBG40MzQKAmMwEgVuNDM1YiIHR3JlYXRlcgofCgVuNDM1YgoEbjQzMQoDYzIyEgRuNDM1IgVXaGVyZQoXCgRuNDI4CgRuNDM1EgRuNDM2IgNEaXYKEgoEbjQzNhIEbjQzNyIEQXRhbgobCgNjMTEKBG40MzESBW40NDBiIgdHcmVhdGVyCh4KBW40NDBiEgRuNDQwIgRDYXN0KgkKAnRvGAGgAQIKGwoDYzExCgRuNDI4EgVuNDQyYiIHR3JlYXRlcgoeCgVuNDQyYhIEbjQ0MiIEQ2FzdCoJCgJ0bxgBoAECChYKBG40MzcKA2MyMxIEbjQ0MyIDU3ViChYKBG40MzcKA2MyMxIEbjQ0NCIDQWRkChoKBG40NDIKAmMwEgVuNDQ1YiIHR3JlYXRlcgogCgVuNDQ1YgoEbjQ0MwoEbjQ0NBIEbjQ0NSIFV2hlcmUKGgoEbjQ0MAoCYzASBW40NDZiIgdHcmVhdGVyCiAKBW40NDZiCgRuNDQ1CgRuNDM3EgRuNDQ2IgVXaGVyZQoXCgRuMjY4CgRuNDE5EgRuNDQ3IgNBZGQKFwoEbjI0MQoEbjQ0NxIEbjQ0OCIDTXVsChEKBG40NDgSBG40NDkiA0NvcwoRCgRuNDQ4EgRuNDUwIgNTaW4KFwoEaW4xMQoEbjQ0ORIEbjQ1MSIDTXVsChcKBGluMTIKBG40NTASBG40NTIiA011bAoXCgRuNDUxCgRuNDUyEgRuNDUzIgNTdWIKFwoEaW4xMgoEbjQ0ORIEbjQ1NCIDTXVsChcKBGluMTEKBG40NTASBG40NTUiA011bAoXCgRuNDU0CgRuNDU1EgRuNDU2IgNBZGQKFwoEbjQwNwoEbjQ1MxIEbjQ1NyIDTXVsChcKBG40MDkKBG40NTYSBG40NTgiA011bAoXCgRuNDU3CgRuNDU4EgRuNDU5IgNBZGQKFwoEbjQ1OQoEbjQyNRIEbjQ2MCIDRGl2ChcKBG40NTMKBG4yMzUSBG40NjEiA011bAoXCgRuNDU2CgRuMjMzEgRuNDYyIgNNdWwKFwoEbjQ2MQoEbjQ2MhIEbjQ2MyIDU3ViChsKBG40NjMKA2MxMRIFbjQ2NWIiB0dyZWF0ZXIKHgoFbjQ2NWISBG40NjUiBENhc3QqCQoCdG8YAaABAgoaCgRuNDY1CgJjMBIFbjQ2OGIiB0dyZWF0ZXIKHgoFbjQ2OGIKA2MyNAoDYzEyEgRuNDY4IgVXaGVyZQobCgRuNDYwCgNjMjUSBW40NzBiIgdHcmVhdGVyCh4KBW40NzBiEgRuNDcwIgRDYXN0KgkKAnRvGAGgAQIKEQoEbjQ1NhIEbjQ3MSIDTmVnChcKBG40NzEKBG40NjgSBG40NzIiA011bAoWCgRuNDcyCgNjMjYSBG40NzQiA011bAoaCgRuNDcwCgJjMBIFbjQ3NmIiB0dyZWF0ZXIKHwoFbjQ3NmIKBG40NzQKA2MxMRIEbjQ3NiIFV2hlcmUKFwoEbjQwNwoEbjQ3NhIEbjQ3NyIDQWRkChcKBG40NTMKBG40NjgSBG40NzgiA011bAoWCgRuNDc4CgNjMjYSBG40ODAiA011bAoaCgRuNDcwCgJjMBIFbjQ4MmIiB0dyZWF0ZXIKHwoFbjQ4MmIKBG40ODAKA2MxMRIEbjQ4MiIFV2hlcmUKFwoEbjQwOQoEbjQ4MhIEbjQ4MyIDQWRkChcKBG4yMzMKBGluMTESBG40ODQiA011bAoXCgRuMjM1CgRpbjEyEgRuNDg1IgNNdWwKFwoEbjQ4NAoEbjQ4NRIEbjQ4NiIDQWRkChYKBG4yNDMKA2MxMhIEbjQ4OCIDQWRkChcKBG40ODYKBG40ODgSBG40ODkiA0RpdgobCgRuNDg5CgNjMjcSBW40OTFiIgdHcmVhdGVyCh4KBW40OTFiEgRuNDkxIgRDYXN0KgkKAnRvGAGgAQIKGwoEbjI0MwoDYzI4EgVuNDkzYiIHR3JlYXRlcgoeCgVuNDkzYhIEbjQ5MyIEQ2FzdCoJCgJ0bxgBoAECChcKBG40OTEKBG40OTMSBG40OTQiA011bAobCgRuNDc3CgNjMTESBW40OTZiIgdHcmVhdGVyCh4KBW40OTZiEgRuNDk2IgRDYXN0KgkKAnRvGAGgAQIKGgoEbjQ5NgoCYzASBW40OTliIgdHcmVhdGVyCh0KBW40OTliCgJjNQoDYzI5EgRuNDk5IgVXaGVyZQoXCgRuNDc3CgRuNDk5EgRuNTAwIgNTdWIKGgoEbjQ5NAoCYzASBW41MDFiIgdHcmVhdGVyCiAKBW41MDFiCgRuNTAwCgRuNDc3EgRuNTAxIgVXaGVyZQoWCgNpbjEKBG40ODMSBG41MDIiA011bAoWCgNpbjIKBG41MDESBG41MDMiA011bAoXCgRuNTAyCgRuNTAzEgRuNTA0IgNTdWIKFgoDaW4xCgRuNTAxEgRuNTA1IgNNdWwKFgoDaW4yCgRuNDgzEgRuNTA2IgNNdWwKFwoEbjUwNQoEbjUwNhIEbjUwNyIDQWRkChEKBG41MDcSBG41MDkiA0FicwobCgRuNTA5CgNjMjISBW41MTBiIgdHcmVhdGVyCh4KBW41MTBiEgRuNTEwIgRDYXN0KgkKAnRvGAGgAQIKGgoEbjUxMAoCYzASBW41MTFiIgdHcmVhdGVyCh8KBW41MTFiCgRuNTA3CgNjMjISBG41MTEiBVdoZXJlChcKBG41MDQKBG41MTESBG41MTIiA0RpdgoSCgRuNTEyEgRuNTEzIgRBdGFuChsKA2MxMQoEbjUwNxIFbjUxNmIiB0dyZWF0ZXIKHgoFbjUxNmISBG41MTYiBENhc3QqCQoCdG8YAaABAgobCgNjMTEKBG41MDQSBW41MThiIgdHcmVhdGVyCh4KBW41MThiEgRuNTE4IgRDYXN0KgkKAnRvGAGgAQIKFgoEbjUxMwoDYzIzEgRuNTE5IgNTdWIKFgoEbjUxMwoDYzIzEgRuNTIwIgNBZGQKGgoEbjUxOAoCYzASBW41MjFiIgdHcmVhdGVyCiAKBW41MjFiCgRuNTE5CgRuNTIwEgRuNTIxIgVXaGVyZQoaCgRuNTE2CgJjMBIFbjUyMmIiB0dyZWF0ZXIKIAoFbjUyMmIKBG41MjEKBG41MTMSBG41MjIiBVdoZXJlChYKBG4yNjIKA2MxNhIEbjUyNCIDRGl2ChcKBG41MjIKBG41MjQSBG41MjUiA0RpdgoWCgRuNTI1CgNjMzASBG41MjciA011bAoWCgRuNTI3CgNjMjQSBG41MjkiA01heAoWCgRuNTI5CgNjMTISBG41MzEiA01pbgoaCgJjMAoEaW4yMRIFbjUzM2IiB0dyZWF0ZXIKHgoFbjUzM2ISBG41MzMiBENhc3QqCQoCdG8YAaABAgoRCgRpbjE5EgRuNTM0IgNBYnMKEQoEaW4yMBIEbjUzNSIDQWJzChcKBG41MzQKBG41MzUSBG41MzYiA0FkZAobCgRuNTM2CgNjMzESBW41MzhiIgdHcmVhdGVyCh4KBW41MzhiEgRuNTM4IgRDYXN0KgkKAnRvGAGgAQIKFwoEbjUzMwoEbjUzOBIEbjUzOSIDTXVsChoKAmMwCgRpbjI1EgVuNTQxYiIHR3JlYXRlcgoeCgVuNTQxYhIEbjU0MSIEQ2FzdCoJCgJ0bxgBoAECChEKBGluMjMSBG41NDIiA0FicwoRCgRpbjI0EgRuNTQzIgNBYnMKFwoEbjU0MgoEbjU0MxIEbjU0NCIDQWRkChsKBG41NDQKA2MzMRIFbjU0NmIiB0dyZWF0ZXIKHgoFbjU0NmISBG41NDYiBENhc3QqCQoCdG8YAaABAgoXCgRuNTQxCgRuNTQ2EgRuNTQ3IgNNdWwKGgoEbjUzOQoCYzASBW41NDhiIgdHcmVhdGVyCiAKBW41NDhiCgRpbjE5CgRpbjIzEgRuNTQ4IgVXaGVyZQoVCgRuNTQ4CgJjNRIEbjU1MCIDTXVsChoKBG41MzkKAmMwEgVuNTUxYiIHR3JlYXRlcgogCgVuNTUxYgoEaW4yMAoEaW4yNBIEbjU1MSIFV2hlcmUKFQoEbjU1MQoCYzUSBG41NTMiA011bAoXCgRuNTM5CgRuNTQ3EgRuNTU0IgNNYXgKGgoCYzAKBGluNzcSBW41NTZiIgdHcmVhdGVyCh4KBW41NTZiEgRuNTU2IgRDYXN0KgkKAnRvGAGgAQIKEQoEaW43NRIEbjU1NyIDQWJzChEKBGluNzYSBG41NTgiA0FicwoXCgRuNTU3CgRuNTU4EgRuNTU5IgNBZGQKGwoEbjU1OQoDYzMxEgVuNTYxYiIHR3JlYXRlcgoeCgVuNTYxYhIEbjU2MSIEQ2FzdCoJCgJ0bxgBoAECChcKBG41NTYKBG41NjESBG41NjIiA011bAoaCgJjMAoEaW44MRIFbjU2NGIiB0dyZWF0ZXIKHgoFbjU2NGISBG41NjQiBENhc3QqCQoCdG8YAaABAgoRCgRpbjc5EgRuNTY1IgNBYnMKEQoEaW44MBIEbjU2NiIDQWJzChcKBG41NjUKBG41NjYSBG41NjciA0FkZAobCgRuNTY3CgNjMzESBW41NjliIgdHcmVhdGVyCh4KBW41NjliEgRuNTY5IgRDYXN0KgkKAnRvGAGgAQIKFwoEbjU2NAoEbjU2ORIEbjU3MCIDTXVsChoKBG41NjIKAmMwEgVuNTcxYiIHR3JlYXRlcgogCgVuNTcxYgoEaW43NQoEaW43ORIEbjU3MSIFV2hlcmUKFQoEbjU3MQoCYzUSBG41NzMiA011bAoaCgRuNTYyCgJjMBIFbjU3NGIiB0dyZWF0ZXIKIAoFbjU3NGIKBGluNzYKBGluODASBG41NzQiBVdoZXJlChUKBG41NzQKAmM1EgRuNTc2IgNNdWwKFwoEbjU2MgoEbjU3MBIEbjU3NyIDTWF4ChUKBGluNTYKAmMxEgRuNTc5IgNNdWwKFgoEbjIyNQoDaW4xEgRuNTgwIgNNdWwKFwoEbjU3OQoEaW41NxIEbjU4MSIDTXVsChcKBG41ODAKBG41ODESBG41ODIiA0FkZAoWCgRuNTgyCgNjMzISBG41ODQiA011bAoWCgRuMjI1CgNpbjISBG41ODUiA011bAoXCgRuNTc5CgRpbjU4EgRuNTg2IgNNdWwKFwoEbjU4NQoEbjU4NhIEbjU4NyIDQWRkChYKBG41ODcKA2MzMhIEbjU4OSIDTXVsChcKBG41NTAKBG41ODQSBG41OTAiA0FkZAoXCgRuNTkwCgRuNTczEgRuNTkxIgNTdWIKFwoEbjU1MwoEbjU4ORIEbjU5MiIDQWRkChcKBG41OTIKBG41NzYSBG41OTMiA1N1YgoXCgRpbjExCgRpbjY3EgRuNTk0IgNBZGQKFwoEaW4xMgoEaW42OBIEbjU5NSIDQWRkChoKBG41NzcKAmMwEgVuNTk2YiIHR3JlYXRlcgogCgVuNTk2YgoEbjU5MQoEbjU5NBIEbjU5NiIFV2hlcmUKGgoEbjU3NwoCYzASBW41OTdiIgdHcmVhdGVyCiAKBW41OTdiCgRuNTkzCgRuNTk1EgRuNTk3IgVXaGVyZQoXCgRuNTk2CgRuNTk2EgRuNTk4IgNNdWwKFwoEbjU5NwoEbjU5NxIEbjU5OSIDTXVsChcKBG41OTgKBG41OTkSBG42MDAiA0FkZAoSCgRuNjAwEgRuNjAxIgRTcXJ0ChYKBG42MDEKA2MzMRIEbjYwMyIDQWRkChcKBG41OTYKBG42MDMSBG42MDQiA0RpdgoXCgRuNTk3CgRuNjAzEgRuNjA1IgNEaXYKFgoEbjYwNAoDYzE4EgRuNjA3IgNNdWwKFgoEbjYwNQoDYzE4EgRuNjA5IgNNdWwKFgoEbjIyNQoDaW4xEgRuNjEwIgNNdWwKFwoEbjYwNwoEbjYxMBIEbjYxMSIDU3ViChYKBG4yMjUKA2luMhIEbjYxMiIDTXVsChcKBG42MDkKBG42MTISBG42MTMiA1N1YgoXCgRuNTUwCgRuNjExEgRuNjE0IgNNdWwKFwoEbjU1MwoEbjYxMxIEbjYxNSIDTXVsChcKBG42MTQKBG42MTUSBG42MTYiA0FkZAoRCgRuNjE2EgRuNjE3IgNOZWcKFwoEbjYxMQoEbjYxMRIEbjYxOCIDTXVsChcKBG42MTMKBG42MTMSBG42MTkiA011bAoXCgRuNjE4CgRuNjE5EgRuNjIwIgNBZGQKFgoEbjYyMAoDYzEyEgRuNjIyIgNBZGQKFwoEbjYxNwoEbjYyMhIEbjYyMyIDRGl2ChYKBG42MjMKA2MxMRIEbjYyNSIDTWF4ChUKBG42MjUKAmMwEgRuNjI3IgNNaW4KFwoEbjYwNwoEbjYyNxIEbjYyOCIDTXVsChcKBG41NTAKBG42MjgSBG42MjkiA0FkZAoXCgRuNjA5CgRuNjI3EgRuNjMwIgNNdWwKFwoEbjU1MwoEbjYzMBIEbjYzMSIDQWRkChYKA2MxMgoEbjI2MhIEbjYzMyIDTXVsChcKBG42MzMKBG42MjcSBG42MzQiA011bAoVCgRuNjM0CgJjMBIEbjYzNiIDTXVsChcKBG42MzYKBG42MzYSBG42MzciA011bAoXCgRuMjI1CgRuNjI3EgRuNjM4IgNNdWwKFgoEbjYzNwoDYzIwEgRuNjQxIgNEaXYKFgoDYzEyCgRuNjQxEgRuNjQyIgNTdWIKFwoEbjYzNwoEbjYzNxIEbjY0MyIDTXVsChYKBG42NDMKA2MxNRIEbjY0NSIDRGl2ChcKBG42NDIKBG42NDUSBG42NDYiA0FkZAoXCgRuNjM4CgRuNjQ2EgRuNjQ3IgNNdWwKEQoEbjYzNhIEbjY0OCIDQ29zChEKBG42MzYSBG42NDkiA1NpbgoWCgNpbjEKBG42NDgSBG42NTAiA011bAoWCgNpbjIKBG42NDkSBG42NTEiA011bAoXCgRuNjUwCgRuNjUxEgRuNjUyIgNTdWIKFwoEbjY0NwoEbjY1MhIEbjY1MyIDTXVsChYKA2luMgoEbjY0OBIEbjY1NCIDTXVsChYKA2luMQoEbjY0ORIEbjY1NSIDTXVsChcKBG42NTQKBG42NTUSBG42NTYiA0FkZAoXCgRuNjQ3CgRuNjU2EgRuNjU3IgNNdWwKFwoEbjYyOQoEbjY1MxIEbjY1OCIDU3ViChcKBG42MzEKBG42NTcSBG42NTkiA1N1YgoXCgRuNjU4CgRuNjU4EgRuNjYwIgNNdWwKFwoEbjY1OQoEbjY1ORIEbjY2MSIDTXVsChcKBG42NjAKBG42NjESBG42NjIiA0FkZAoSCgRuNjYyEgRuNjYzIgRTcXJ0ChYKBG42MzYKA2MzMxIEbjY2NSIDTXVsChEKBG42NjUSBG42NjYiA0NvcwoWCgRuNjM2CgNjMzMSBG42NjgiA011bAoRCgRuNjY4EgRuNjY5IgNTaW4KFgoDaW4xCgRuNjY2EgRuNjcwIgNNdWwKFgoDaW4yCgRuNjY5EgRuNjcxIgNNdWwKFwoEbjY3MAoEbjY3MRIEbjY3MiIDU3ViChcKBG42MDQKBG42NzISBG42NzMiA011bAoWCgNpbjIKBG42NjYSBG42NzQiA011bAoWCgNpbjEKBG42NjkSBG42NzUiA011bAoXCgRuNjc0CgRuNjc1EgRuNjc2IgNBZGQKFwoEbjYwNQoEbjY3NhIEbjY3NyIDTXVsChcKBG42NzMKBG42NzcSBG42NzgiA0FkZAobCgRuNjc4CgNjMzQSBW42ODBiIgdHcmVhdGVyCh4KBW42ODBiEgRuNjgwIgRDYXN0KgkKAnRvGAGgAQIKGgoEbjY4MAoCYzASBW42ODJiIgdHcmVhdGVyCh8KBW42ODJiCgNjMzUKBG42NjMSBG42ODIiBVdoZXJlChYKA2MyNAoEbjI2MhIEbjY4NCIDTXVsChcKBG42ODQKBG42MjcSBG42ODUiA011bAoVCgRuNjg1CgJjMBIEbjY4NyIDTXVsChcKBG42ODcKBG42ODcSBG42ODgiA011bAoXCgRuMjI1CgRuNjI3EgRuNjg5IgNNdWwKFgoEbjY4OAoDYzIwEgRuNjkyIgNEaXYKFgoDYzEyCgRuNjkyEgRuNjkzIgNTdWIKFwoEbjY4OAoEbjY4OBIEbjY5NCIDTXVsChYKBG42OTQKA2MxNRIEbjY5NiIDRGl2ChcKBG42OTMKBG42OTYSBG42OTciA0FkZAoXCgRuNjg5CgRuNjk3EgRuNjk4IgNNdWwKEQoEbjY4NxIEbjY5OSIDQ29zChEKBG42ODcSBG43MDAiA1NpbgoWCgNpbjEKBG42OTkSBG43MDEiA011bAoWCgNpbjIKBG43MDASBG43MDIiA011bAoXCgRuNzAxCgRuNzAyEgRuNzAzIgNTdWIKFwoEbjY5OAoEbjcwMxIEbjcwNCIDTXVsChYKA2luMgoEbjY5ORIEbjcwNSIDTXVsChYKA2luMQoEbjcwMBIEbjcwNiIDTXVsChcKBG43MDUKBG43MDYSBG43MDciA0FkZAoXCgRuNjk4CgRuNzA3EgRuNzA4IgNNdWwKFwoEbjYyOQoEbjcwNBIEbjcwOSIDU3ViChcKBG42MzEKBG43MDgSBG43MTAiA1N1YgoXCgRuNzA5CgRuNzA5EgRuNzExIgNNdWwKFwoEbjcxMAoEbjcxMBIEbjcxMiIDTXVsChcKBG43MTEKBG43MTISBG43MTMiA0FkZAoSCgRuNzEzEgRuNzE0IgRTcXJ0ChYKBG42ODcKA2MzMxIEbjcxNiIDTXVsChEKBG43MTYSBG43MTciA0NvcwoWCgRuNjg3CgNjMzMSBG43MTkiA011bAoRCgRuNzE5EgRuNzIwIgNTaW4KFgoDaW4xCgRuNzE3EgRuNzIxIgNNdWwKFgoDaW4yCgRuNzIwEgRuNzIyIgNNdWwKFwoEbjcyMQoEbjcyMhIEbjcyMyIDU3ViChcKBG42MDQKBG43MjMSBG43MjQiA011bAoWCgNpbjIKBG43MTcSBG43MjUiA011bAoWCgNpbjEKBG43MjASBG43MjYiA011bAoXCgRuNzI1CgRuNzI2EgRuNzI3IgNBZGQKFwoEbjYwNQoEbjcyNxIEbjcyOCIDTXVsChcKBG43MjQKBG43MjgSBG43MjkiA0FkZAobCgRuNzI5CgNjMzQSBW43MzFiIgdHcmVhdGVyCh4KBW43MzFiEgRuNzMxIgRDYXN0KgkKAnRvGAGgAQIKGgoEbjczMQoCYzASBW43MzNiIgdHcmVhdGVyCh8KBW43MzNiCgNjMzUKBG43MTQSBG43MzMiBVdoZXJlChcKBG41MzEKBG4yNjISBG43MzQiA011bAoXCgRuNzM0CgRuNjI3EgRuNzM1IgNNdWwKFQoEbjczNQoCYzASBG43MzciA011bAoXCgRuNzM3CgRuNzM3EgRuNzM4IgNNdWwKFwoEbjIyNQoEbjYyNxIEbjczOSIDTXVsChYKBG43MzgKA2MyMBIEbjc0MiIDRGl2ChYKA2MxMgoEbjc0MhIEbjc0MyIDU3ViChcKBG43MzgKBG43MzgSBG43NDQiA011bAoWCgRuNzQ0CgNjMTUSBG43NDYiA0RpdgoXCgRuNzQzCgRuNzQ2EgRuNzQ3IgNBZGQKFwoEbjczOQoEbjc0NxIEbjc0OCIDTXVsChEKBG43MzcSBG43NDkiA0NvcwoRCgRuNzM3EgRuNzUwIgNTaW4KFgoDaW4xCgRuNzQ5EgRuNzUxIgNNdWwKFgoDaW4yCgRuNzUwEgRuNzUyIgNNdWwKFwoEbjc1MQoEbjc1MhIEbjc1MyIDU3ViChcKBG43NDgKBG43NTMSBG43NTQiA011bAoWCgNpbjIKBG43NDkSBG43NTUiA011bAoWCgNpbjEKBG43NTASBG43NTYiA011bAoXCgRuNzU1CgRuNzU2EgRuNzU3IgNBZGQKFwoEbjc0OAoEbjc1NxIEbjc1OCIDTXVsChcKBG42MjkKBG43NTQSBG43NTkiA1N1YgoXCgRuNjMxCgRuNzU4EgRuNzYwIgNTdWIKFwoEbjc1OQoEbjc1ORIEbjc2MSIDTXVsChcKBG43NjAKBG43NjASBG43NjIiA011bAoXCgRuNzYxCgRuNzYyEgRuNzYzIgNBZGQKEgoEbjc2MxIEbjc2NCIEU3FydAoWCgRuNzM3CgNjMzMSBG43NjYiA011bAoRCgRuNzY2EgRuNzY3IgNDb3MKFgoEbjczNwoDYzMzEgRuNzY5IgNNdWwKEQoEbjc2ORIEbjc3MCIDU2luChYKA2luMQoEbjc2NxIEbjc3MSIDTXVsChYKA2luMgoEbjc3MBIEbjc3MiIDTXVsChcKBG43NzEKBG43NzISBG43NzMiA1N1YgoXCgRuNjA0CgRuNzczEgRuNzc0IgNNdWwKFgoDaW4yCgRuNzY3EgRuNzc1IgNNdWwKFgoDaW4xCgRuNzcwEgRuNzc2IgNNdWwKFwoEbjc3NQoEbjc3NhIEbjc3NyIDQWRkChcKBG42MDUKBG43NzcSBG43NzgiA011bAoXCgRuNzc0CgRuNzc4EgRuNzc5IgNBZGQKGwoEbjc3OQoDYzM0EgVuNzgxYiIHR3JlYXRlcgoeCgVuNzgxYhIEbjc4MSIEQ2FzdCoJCgJ0bxgBoAECChoKBG43ODEKAmMwEgVuNzgzYiIHR3JlYXRlcgofCgVuNzgzYgoDYzM1CgRuNzY0EgRuNzgzIgVXaGVyZQobCgRuNjI3CgNjMTESBW43ODViIgdHcmVhdGVyCh4KBW43ODViEgRuNzg1IgRDYXN0KgkKAnRvGAGgAQIKFwoEbjU1NAoEbjc4NRIEbjc4NiIDTXVsChsKA2MzNgoEbjYyNxIFbjc4OGIiB0dyZWF0ZXIKHgoFbjc4OGISBG43ODgiBENhc3QqCQoCdG8YAaABAgoXCgRuNzg2CgRuNzg4EgRuNzg5IgNNdWwKGwoDYzM3CgRuNzgzEgVuNzkxYiIHR3JlYXRlcgoeCgVuNzkxYhIEbjc5MSIEQ2FzdCoJCgJ0bxgBoAECChcKBG43ODkKBG43OTESBG43OTIiA011bAobCgRuMjI5CgNjMzgSBW43OTRiIgdHcmVhdGVyCh4KBW43OTRiEgRuNzk0IgRDYXN0KgkKAnRvGAGgAQIKFwoEbjc5MgoEbjc5NBIEbjc5NSIDTXVsChwKBG42ODIKBG43MzMSBW43OTZiIgdHcmVhdGVyCh4KBW43OTZiEgRuNzk2IgRDYXN0KgkKAnRvGAGgAQIKGgoEbjc5NgoCYzASBW43OTliIgdHcmVhdGVyCh4KBW43OTliCgNjMTIKA2MyNBIEbjc5OSIFV2hlcmUKEQoEaW41MhIEbjgwMCIDQWJzChUKA2MzOQoDYzIzEgRuODAzIgNEaXYKHAoEbjgwMwoEbjgwMBIFbjgwNGIiB0dyZWF0ZXIKHgoFbjgwNGISBG44MDQiBENhc3QqCQoCdG8YAaABAgobCgNjNDAKBG4yNDMSBW44MDZiIgdHcmVhdGVyCh4KBW44MDZiEgRuODA2IgRDYXN0KgkKAnRvGAGgAQIKFwoEbjgwNAoEbjgwNhIEbjgwNyIDTXVsChsKBG4yMjkKA2M0MRIFbjgwOWIiB0dyZWF0ZXIKHgoFbjgwOWISBG44MDkiBENhc3QqCQoCdG8YAaABAgoXCgRuODA5CgRuODA3EgRuODEwIgNNdWwKEQoEbjIzNRIEbjgxMSIDTmVnChYKBG44MTEKA2luMRIEbjgxMiIDTXVsChYKBG4yMzMKA2luMhIEbjgxMyIDTXVsChcKBG44MTIKBG44MTMSBG44MTQiA0FkZAobCgRuODE0CgNjMTESBW44MTZiIgdHcmVhdGVyCh4KBW44MTZiEgRuODE2IgRDYXN0KgkKAnRvGAGgAQIKGgoEbjgxNgoCYzASBW44MTliIgdHcmVhdGVyCh4KBW44MTliCgNjMTIKA2MyNBIEbjgxOSIFV2hlcmUKFwoEbjgxMQoEbjgxORIEbjgyMCIDTXVsChcKBG4yMzMKBG44MTkSBG44MjEiA011bAoWCgNpbjEKBG44MjESBG44MjIiA011bAoWCgNpbjIKBG44MjASBG44MjMiA011bAoXCgRuODIyCgRuODIzEgRuODI0IgNTdWIKFgoDaW4xCgRuODIwEgRuODI1IgNNdWwKFgoDaW4yCgRuODIxEgRuODI2IgNNdWwKFwoEbjgyNQoEbjgyNhIEbjgyNyIDQWRkChEKBG44MjcSBG44MjkiA0FicwobCgRuODI5CgNjMjISBW44MzBiIgdHcmVhdGVyCh4KBW44MzBiEgRuODMwIgRDYXN0KgkKAnRvGAGgAQIKGgoEbjgzMAoCYzASBW44MzFiIgdHcmVhdGVyCh8KBW44MzFiCgRuODI3CgNjMjISBG44MzEiBVdoZXJlChcKBG44MjQKBG44MzESBG44MzIiA0RpdgoSCgRuODMyEgRuODMzIgRBdGFuChsKA2MxMQoEbjgyNxIFbjgzNmIiB0dyZWF0ZXIKHgoFbjgzNmISBG44MzYiBENhc3QqCQoCdG8YAaABAgobCgNjMTEKBG44MjQSBW44MzhiIgdHcmVhdGVyCh4KBW44MzhiEgRuODM4IgRDYXN0KgkKAnRvGAGgAQIKFgoEbjgzMwoDYzIzEgRuODM5IgNTdWIKFgoEbjgzMwoDYzIzEgRuODQwIgNBZGQKGgoEbjgzOAoCYzASBW44NDFiIgdHcmVhdGVyCiAKBW44NDFiCgRuODM5CgRuODQwEgRuODQxIgVXaGVyZQoaCgRuODM2CgJjMBIFbjg0MmIiB0dyZWF0ZXIKIAoFbjg0MmIKBG44NDEKBG44MzMSBG44NDIiBVdoZXJlChcKBG44NDIKBG41MjQSBG44NDMiA0RpdgoWCgRuODQzCgNjMjQSBG44NDUiA01heAoWCgRuODQ1CgNjMTISBG44NDciA01pbgoaCgRuODEwCgJjMBIFbjg0OGIiB0dyZWF0ZXIKIAoFbjg0OGIKBG44NDcKBG41MzESBG44NDgiBVdoZXJlChoKBG43OTUKAmMwEgVuODQ5YiIHR3JlYXRlcgogCgVuODQ5YgoEbjc5OQoEbjg0OBIEbjg0OSIFV2hlcmUKFwoEbjg0OQoEbjI2MhIEbjg1MCIDTXVsChcKBG44NTAKBG4yNjgSBG44NTEiA011bAoXCgRuNDQ2CgRuODUxEgRuODUyIgNTdWIKEQoEbjg1MhIEbjg1MyIDU2luChEKBG44NTMSBG44NTQiA0FicwoXCgRuNDI1CgRuODU0EgRuODU1IgNNdWwKEQoEbjg1MRIEbjg1NiIDQ29zChYKA2luMQoEbjg1NhIEbjg1NyIDTXVsChEKBG44NTESBG44NTgiA1NpbgoWCgNpbjIKBG44NTgSBG44NTkiA011bAoXCgRuODU3CgRuODU5EgRuODYwIgNTdWIKEQoEbjg1MRIEbjg2MSIDQ29zChYKA2luMgoEbjg2MRIEbjg2MiIDTXVsChEKBG44NTESBG44NjMiA1NpbgoWCgNpbjEKBG44NjMSBG44NjQiA011bAoXCgRuODYyCgRuODY0EgRuODY1IgNBZGQKFwoEbjg2MAoEbjQ1MxIEbjg2NiIDTXVsChcKBG44NjUKBG40NTYSBG44NjciA011bAoXCgRuODY2CgRuODY3EgRuODY4IgNBZGQKFQoDYzQyCgNjNDMSBG44NzEiA1N1YgocCgRuODcxCgRuODY4EgVuODcyYiIHR3JlYXRlcgoeCgVuODcyYhIEbjg3MiIEQ2FzdCoJCgJ0bxgBoAECChEKBG44NTISBG44NzMiA0NvcwobCgRuODczCgNjMTESBW44NzViIgdHcmVhdGVyCh4KBW44NzViEgRuODc1IgRDYXN0KgkKAnRvGAGgAQIKGwoDYzQ0CgRuODU1EgVuODc3YiIHR3JlYXRlcgoeCgVuODc3YhIEbjg3NyIEQ2FzdCoJCgJ0bxgBoAECChsKA2M0NQoEbjQxORIFbjg3OWIiB0dyZWF0ZXIKHgoFbjg3OWISBG44NzkiBENhc3QqCQoCdG8YAaABAgoXCgRuODc3CgRuODc5EgRuODgwIgNNdWwKFwoEbjg4MAoEbjg3MhIEbjg4MSIDTXVsChcKBG44ODEKBG44NzUSBG44ODIiA011bAobCgNjMTEKBGluMTUSBW44ODRiIgdHcmVhdGVyCh4KBW44ODRiEgRuODg0IgRDYXN0KgkKAnRvGAGgAQIKGwoEbjI0MwoDYzQ2EgVuODg2YiIHR3JlYXRlcgoeCgVuODg2YhIEbjg4NiIEQ2FzdCoJCgJ0bxgBoAECChcKBG44ODQKBG44ODYSBG44ODciA011bAoWCgRuMjQzCgNjNDcSBG44ODkiA1N1YgoVCgNjNDg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"entry_sha256": "8099d8fba4798478eb18614d915f25f28c87ca08c95d5173bf5570b975d8429b", "entry_bytes": 20336, "ops": ["Abs", "Add", "Atan", "Cast", "Concat", "Cos", "Div", "Gather", "Greater", "Max", "Min", "Mul", "Neg", "Sin", "Split", "Sqrt", "Sub", "Where"], "tried": ["Scores are the board formula from our side, on random-spawn seeds never used in tuning unless stated.", "Harness check: current rule vs Starter 0.991 over 3,000 (2,973 wins, 25 shot down, 2 ground crashes) and 0.990 on another 3,000; its seat measured 0.99333. Mirror against itself: 0.5 with 224 to 240 mutual kills per 1,000.", "Loss replay: 24 of the 27 losses to Starter had our fighter stall shortly before it was shot, almost all in the final exchange at 1 HP each (final HP 0-1). The rule's stall guard (speed < 18.67 m/s) can never fire because speed is clamped at 20 or above, and the rule stalls in 44% of all its matches, mostly wins.", "Stall guard (predict speed T s ahead from the commanded yaw and throttle; below VM: full throttle, nose down if climbing): stalls gone, but worse in every setting, 0.985 down to 0.4875 vs Starter and 0.35 to 0.49 vs current. Gated to 1 HP: 0.9912 to 0.9918 vs Starter, 0.484 to 0.486 vs current, i.e. noise. Rejected: stalling is part of how this rule turns.", "Mutual kills: in mirror replays both sides hit on the same tick in every exchange (4-4, 3-3, 2-2, 1-1, 0-0) because the guns reload in sync, so shooting earlier cannot break the tie. A looser miss threshold (8.5 to 15 m) when the opponent points at us: 0.990 to 0.992 vs Starter, 0.451 to 0.5055 vs current. Rejected as noise.", "Neural exploiter (Starter's 771-number head, antithetic ES, 50 s, two step sizes) scored only 0.035 and 0.0 against the current rule: the head-only blind spot reported for older versions is closed in this one.", "Rule exploiter (the current rule's 34 tuned constants, ES 90 s against it) beats the current rule: the current rule scores 0.163 over 1,000 held-out matches. Weakest point found: the entry loses heavily to retuned copies of itself.", "League round 1 (n1: constants tuned against current, that exploiter and Starter, 150 s): 0.99767 vs Starter, 0.502 vs current, 0.8605 vs the exploiter, but 0.471 and 0.4115 against two exploiters then trained on n1.", "Round 2 (n2, pool of 5): end of run 0.3525 vs current (rejected), best-of-run 0.548 vs current and 0.83, 0.568, 0.516 vs the three exploiters.", "Round 4 (from n3.best, pool of 11 adding the rule, mirror and neural exploiters trained against it, 150 s but only 20 generations because neural matches are slow): end of run 0.2925 and best-of-run 0.369 vs current, 0.279 and 0.2375 vs the rule exploiter, and only +0.005 to +0.05 vs the neural exploiters. Rejected; n3.best kept.", "Cost of the retune, found by the final exploiters: a 60 s neural head exploiter brings our final model to 0.7595 to 0.7765, while two 50 s ones trained against the current rule left it at 0.965 and 1.0. The constants that beat rule opponents opened a neural blind spot, which matters because the board's opponents are networks.", "BEST, round 3 (n3.best: tuned from n2 against current, three exploiters, n1, n2 and Starter, 150 s, picked on held-out seeds): 0.99833 vs Starter over 3,000, 0.570 vs current, 0.8105, 0.619, 0.613 vs the three exploiters and 0.5695, 0.59275 vs n1, n2 (2,000 each), 0.99938 vs built-ins. The end-of-run n3 was rejected at 0.283 vs current."], "next": "Do not upload this model on its head-to-head numbers alone. It beats the current entry 0.5645 and Starter 0.99867, but a 60 s neural head exploiter takes about 23% off it (the current rule held at 0.965 or better against similar ones), and a 120 s retune of the current rule's constants takes it to 0.212. Rule constants are rock-paper-scissors: choose by worst case over a pool on held-out seeds, and put neural exploiters in that pool from the first round (here they joined only in round 4, which ran too few generations). Mutual kills come from guns that reload in sync during head-on exchanges: firing earlier does not fix them, and a stall guard costs more than the stalls it prevents. Next: train full-network self-play opponents, then retune or distill against a pool that includes them and these exploiters, and keep a champion that holds at least 0.5 against every member."}