t = 0
What it tests: whether initialising a 16×16 / 4-agent run from a checkpoint trained on the larger 32×32 / 10-agent world (warm-started) reaches competence faster than training the same architecture from random weights (from scratch). Four matched runs — two scratch, two warm — same LPAC backbone, same explorer/relay roles, same reward; the only difference is the starting weights.
| Arm | Final coverage | Connectivity | Iters to 70% coverage | Speed-up |
|---|---|---|---|---|
| From scratch | 81.1% | ≈ 99% | ~262 | 1× (baseline) |
| Warm-started from 32² | 83.6% | ≈ 99% | ~10 | ≈ 26× faster |