policy-evaluation

name	policy-evaluation
description	Evaluate frozen DSM or RL policies with continuous EnergyPlus trajectories, consistent observations, readiness metrics, and publication-safe comparisons.

Policy evaluation

Use for frozen-policy replay, RL validation, or reporting campaign outcomes.

• Separate training reward from constrained evaluation cost. Training mean reward is not a validation leader.
• Use the same complete observation schema and action interpretation used by the saved policy; do not substitute zero/default observations without labeling a diagnostic.
• Freeze initial state, weather, calendar, baseline, tariff contract, and policy artifact. Record process starts/continuity and artifact hashes.
• Publish checked readiness days separately from non-applicable days; never turn auto-pass days into comfort success.
• Do not compare absolute dollars across different tariff definitions or score a utility invoice against an illustrative tariff reconstruction.
• Preserve raw manifests. Report only provenance-backed counters and label simulation-only work as non-operational.

Use grid-search-dsm for transparent discrete comparators and energyplus-results for physical metrics.