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sac_recovery_harness

sac_recovery_harness

Execute a bounded reduced SAC recovery experiment that combines generated objective, backup, and actor-update skills into validation artifacts.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: sac_recovery_harness description: Execute a bounded reduced SAC recovery experiment that combines generated objective, backup, and actor-update skills into validation artifacts.

SAC Recovery Harness

Use this skill when the full SAC MuJoCo training stack is unavailable or too expensive, but soft-mode recovery permits an executable mechanism-faithful proxy. The harness must call or cross-check generated SAC module scripts rather than duplicating every mechanism silently.

Inputs

  • Attempt directory with module plan and runtime handoff.
  • Paths to generated SAC skills.
  • A deterministic reduced replay batch.

Outputs

  • recovery/recovery_result.json.
  • recovery/logs/generated_data_item.json.
  • recovery/logs/training_trace.json.
  • invocation evidence for generated skills.

Workflow

  1. Load the module plan target and runtime handoff.
  2. Construct a small continuous-control replay batch with rewards, done flags, Q estimates, and log probabilities.
  3. Invoke the maximum-entropy, soft-Bellman, and actor-update helpers.
  4. Apply one reduced optimizer update and record before/after losses and parameters.
  5. Mark the run as proxy/reduced and never as full MuJoCo performance.

Validation

Run the recovery command and then the Distiller recovery experiment validator.

Limitations

This harness validates mechanism transfer only. It does not reproduce the reported MuJoCo return curves.

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