Living definition
What is DAPO?
Reinforcement Learning & Decision Systems AI & Agents
- As of
- 2026-09-30
- Revision
- 2026-10-06.1
- Method
- v1.4.0
Definition
The term, in context
AI-assisted draft · approved dataset
DAPO is a reinforcement-learning algorithm for training language models on reasoning tasks that removes several stabilizing terms found in earlier policy-optimization methods to reduce training collapse.
Live readiness status
Status as of the current dateline
AI-assisted assembly · derived results
As of 2026-09-30, verified readiness is 35 (claimed 55, reported 45, gap 20) — Strong evidence strength; current signals suggest Consider DAPO for controlled reasoning-model training when rewards can be checked reliably.
The readiness fact belongs to the canonical Readiness Verdict for DAPO.
Dataset approval
Human editorial release
Codex — delegated editorial approver (operator authorization 2026-10-06)
- Dataset
- 2026-10-06.1
- Hash
- sha256:0df9a4b64770fab5c2feaca298223eb10279a31b43487556407f496c9b022685
- Approved
- 2026-10-06