b3ee72e144
Calibration-driven, no_bias only, 2000x600 grid. All cases share unified env/train/calibrate pattern. Multi-GPU server deployment ready. Core additions: - calibrate.py: Phase 0 calibration (karman/illusion), produces calibration.json with rounded FORCE_SCALE, SENS_SCALE, SIM_BP/VAL - env_karman.py: parameterized Karman cloak env (calibration + config_path) - env_illusion.py: illusion env with FFT harmonics target (S_DIM=14) - env_vortex.py: vortex cloaking env (lamb/taylor, MAX_STEPS=150) - train_karman.py, train_illusion.py: parameterized training scripts - launch_multi.sh: sequential multi-GPU launcher (7-min staggered) - SERVER_DEPLOY.md: complete server setup, calibration, training guide - calibrations/re100/ & calibrations/illusion_1L/: pre-run calibrations Fixes: - SIM_VAL[-1] 0.95 -> 1.0 (r_sim maps to full [0,1] range) - Cross-Re configs: re50/200/400 (viscosity-only variants) Verified end-to-end on GPU0+GPU1: - Karman V5 20-ep: best reward 0.459 at Ep16 (monotonic rise) - Illusion 20-ep: best reward 0.224 at Ep19 (harmonics, DTW learning) Co-authored-by: Cursor <cursoragent@cursor.com> |
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| .. | ||
| legacy_configs | ||
| config_body.json | ||
| config_lbm_karman_2000x600_re50.json | ||
| config_lbm_karman_2000x600_re200.json | ||
| config_lbm_karman_2000x600_re400.json | ||
| config_lbm_karman_2000x600.json | ||
| config_lbm_pinball.json | ||
| CONFIG.md | ||