Mining
A Zhen miner is a calibration engine: receive training measurements, search a ~5-parameter space for RC values that fit them, and submit parameters back before the round deadline.
Summary
- Optimizer is your choice — Bayesian optimization, CMA-ES, MCMC, surrogate-assisted, or hybrid. No single method dominates every building type.
- Simulation budget — up to 1,000 RC-model evaluations per round. Convergence weight rewards using fewer.
- Local score replay — the open-source scoring module lets you validate exactly what the validator will compute before you submit.
- Default-parameter detection zeroes out lazy submissions; there is no value in betting on priors.
- Hardware — miner compute is CPU-bound. Budget a modern multi-core machine; no GPU required.