LisaMegaWatts/sshfighter-17-head-router-ack-sticky-v1

SSH Fighter 17-Head Frozen-Expert Router — ACK/Sticky Matrix v1

Seventeen character-specific heads route among nine immutable Agent Gym policies. The package contains every three-seed checkpoint, averaged inference weights, the grouped training tensor cache, and fresh-seed exact-engine evaluation rows across raw-queue and protocol-shaped ACK/sticky controller realizations in the predeclared six-scenario role-delay matrix.

Fresh exact-engine evaluation

controller realization	condition	points rate	wins	losses	draws	switches/match
raw-queue	fixed-jumper	0.5714	51809	38433	3394	0.00
raw-queue	static	0.5941	54036	36408	3192	0.00
raw-queue	linear	0.6122	56707	35691	1238	137.94
raw-queue	chebyshev	0.6060	56081	36221	1334	123.42
ack-sticky	fixed-jumper	0.0866	1911	79325	12400	0.00
ack-sticky	static	0.1392	7202	74763	11671	0.00
ack-sticky	linear	0.1924	13195	70806	9635	284.20
ack-sticky	chebyshev	0.1958	13565	70534	9537	312.67

• Matches: 749,088
• Engine snapshot: f478c1320f86f428c882e391c11e97ca4cf7b47b
• Technical failures: 0
• Evaluation seeds: [1608202901, 1608202919, 1608202947]
• Passive samples: 17,923,841 with all nine proposal codes, literal HP-kick oscillator state, disagreement, agreement-CUSUM, and momentum labels. These signals have no control authority.

Training scope

• Train/dev/retrospective-holdout samples: {'dev': 117504, 'holdout': 117504, 'train': 352512}
• Model seeds: [42, 123, 456]
• Experts remain frozen; only routing parameters are learned.
• The exported ensembles carry Python golden logits which the TypeScript evaluator must reproduce before executing a match.

Limitations

Training labels are retrospective contextual-bandit observations, not full counterfactual rewards for all experts. Fresh evaluation uses known synthetic opponent families and direct exact-engine inputs—not SSH transport or human adaptation. This is the pre-balance-intervention f478c13 stratum and must not be pooled with later mechanics fingerprints.