ctde_v0.run_crowded_overnight¶
run_crowded_overnight
¶
Overnight CROWDED-MAP curriculum batch — learn dense obstacle fields, not zero-shot.
Curriculum warm-start ladder (16²/4 → 24²/6 → 32²/10) on the CONNECTIVITY-SAFE crowded
distribution --terrain crowded_mix (per-reset draw over clutter / pillars / rooms+clutter;
ctde_v0.terrains guarantees the free space is one component, so coverage stays well-posed).
Each rung warm-starts the previous (the scale-invariant transfer the campaign is about), and
obstacle DENSITY is held ~constant (~15% of cells) by scaling --n-obstacles per rung so the
warm-start sees the same clutter level at every scale. comm_r FIXED 5 on the honest spec.
Two cornerstones × two exploration drives (the obstacle-batch lesson: coverage-bump helps):
ARM (2): role (--role-picker expl_relay, the cognition-batch winner) | base (reference). EXPLORE (2): eoff (default reward) | ebump (--w-coverage 3).
LADDER (3, curriculum-chained): 16x16/4 → 24x24/6 → 32x32/10, rung i warm-starts rung i-1 (same arm+explore+seed) via --init-from.
Per seed: 2 arms × 2 explore × 3 rungs = 12 runs (4 curriculum chains). Run-dir
<out>/seed{S}/{arm}_{explore}/{grid}x{grid}x{n} — a rung is skipped once it holds model.eqx
(resumable), and a rung stays blocked until its predecessor's model.eqx exists.
# plan only:
JAX_PLATFORMS=cpu PYTHONPATH=.:../../../FiedlerValueEstimation /Users/bijanmehr/Project.Zymera/zymera_lab/.venv/bin/python ctde_v0/run_crowded_overnight.py --dry-run --seeds 1
# on balthar (GPU; memory-bound → keep --jobs small when 32²/10 is in play):
PYTHONPATH=.:../../../FiedlerValueEstimation ~/ZymeraLab/.venv/bin/python ctde_v0/run_crowded_overnight.py --out runs/crowded --seeds 1 --iters 1200 --rollouts 16 --jobs 2
===>>> This launcher LAUNCHES REAL TRAINING; run it deliberately. <<<===
Unit
¶
Unit(uid, run_dir, rung, seed, extra, prev_dir)
One curriculum rung: id, run-dir, (grid, n, comm_r), seed, extra flags, the predecessor rung's run-dir to warm-start from / wait on (None for the first rung).
Source code in experiments/ctde_v0/run_crowded_overnight.py
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