Provenance:Dataset:TEIAS v2025.1Model:SAC Lab fullRun:3 Dec 2025lab_sac_20251203_162041Seeded

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SAC re-run (lower LR)

Tier B — Full✓ completed

lab_sac_20251203_162041

Interpretation Guardrail

These results are scenario-based projections, not forecasts. They reflect model assumptions about technology costs, policy choices, and demand trajectories. Actual outcomes will differ. Always consult the full methodology and assumption registry before drawing policy conclusions.

↑Derived from:rl_sac_20251127_131802parent_run_id

Frozen Metrics Snapshot

READ-ONLY · Not recomputed

Cost Reduction

−18.1%

Convergence Score

91/100

Policy Stability

90/100

Final Reward

-289.7

Training Loss

0.00330

Actual Runtime

38s

Configuration

Algorithm

SAC

Tier

B — Full

Learning Rate

0.0002

Total Steps

500,000

Seed

42

Created At

03/12/2025, 17:20:41

Est. Runtime

40s (cap: 300s)

Immutable

✓ Yes

Rate Limit & Cap at Run Time

Hourly usage: 1/5Daily usage: 2/20Concurrent: 0/3Queued: No

Run Lineage

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rl_sac_20251127_131802Experiment Rununknown

unknown

1 node in lineage. Lab runs are linked to their parent via parent_run_id. Original experiment runs are immutable — only lab runs can derive from them.

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📎 Cite this — SAC re-run (lower LR)

Önderol, S. (2025). Lab run: SAC re-run (lower LR) [full sandbox]. renewabletransition.org/transition/labs/run/lab_sac_20251203_162041