AEMO Decision Transformer β€” GRPO Post-Trained (Legacy 8x384)

⚠️ OUTDATED β€” Superseded by the Stage C standalone DT.

This GRPO fine-tuned checkpoint is the legacy 8Γ—384 DT. It was already superseded by the modern v2 pretrained model (no GRPO needed), which in turn was superseded by the Stage C standalone DT distilled from an honest SDP-planning teacher:

Surface Stage C DT This model (GRPO) PPO
Standard Oct $11,573 $2,678 $2,353
Dispatch-matched $35,320 $8,242* $22,530
Expanded broad-2024 $34,761 $2,459 $19,504

* Overfit β€” collapses to $1,533 on the standard surface.

This checkpoint is retained for reproducing the legacy GRPO study only.


Overfitting caveat

The headline dispatch-matched number ($8,242) is a specialist overfit to the SA1 Q4 2024 benchmark. On the broader standard surface this is the worst cross-region generalization of any DT model β€” worse than even the legacy pretrained baseline ($2,459).

Recommendation: Use the Stage C standalone DT (models/aemo/dt/aemo_dt_sdp_jtsoc_fullcorpus.pt) for any new work.

GRPO Configuration (Phase 1)

Parameter Value
Iterations 5
Learning rate 1e-5
KL coefficient 0.02
Group size 8
Training regions NSW1, SA1, QLD1, VIC1, TAS1
Training date range 2024-01-01 β†’ 2024-09-30
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