feat(train): freeze canonical V5 training release
Publish the unified scratch-training contract, compact best-policy bundles, calibrated targets, tests, and presentation-ready retained evidence while excluding archived and intermediate run payloads. Co-authored-by: Cursor <cursoragent@cursor.com>
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{
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"case": "ill_1L",
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"scene": "illusion",
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"target_diam": 1.0,
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"grid": {
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"nx": 2000,
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"ny": 600
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},
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"config_path": "/home/frank14f/DynamisLab/configs/config_lbm_karman_2000x600.json",
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"SI": 1200,
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"FIFO_LEN": 150,
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"CONV_LEN": 30,
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"SENSOR_CC": 78.0,
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"FORCE_SCALE": 0.0027,
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"SENS_SCALE": 0.93,
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"dtw_norm_scale": 0.252,
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"SIM_BP": [
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0.0,
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0.21,
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0.81,
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0.89,
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0.94,
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1.0
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],
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"SIM_VAL": [
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0.0,
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0.1,
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0.35,
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0.7,
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0.85,
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1.0
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],
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"K_CD": 12.0,
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"K_CL": 25.0,
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"W_CD": 0.3,
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"W_CL": 0.3,
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"W_SIM": 0.4,
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"FLOOR_CD": 0.1,
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"FLOOR_CL": 0.1,
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"FLOOR_SIM": 0.1,
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"FLOOR_PENALTY": 0.05,
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"ACTION_SCALE": 12.0,
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"ACTION_BIAS": [
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0.0,
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0.0,
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0.0
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],
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"U0": 0.01,
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"RADIUS": 10.0,
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"L0": 20.0
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}
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