BWhat changed
Combined demonstrations, autonomous rollouts and human interventions with value-based advantage estimates and conditioned policy extraction, iterating offline RL and real-robot deployment data collection.
Scientific scope
Combined demonstrations, autonomous rollouts and human interventions with value-based advantage estimates and conditioned policy extraction, iterating offline RL and real-robot deployment data collection. OfflineRL, advantage conditioning and human-gated DAgger have prior work explicitly acknowledged. Acquired delta is their VLA-scale integration, not invention of each component. Long task runs and throughput are source-reported, not independently verified deployment reliability.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. OfflineRL, advantage conditioning and human-gated DAgger have prior work explicitly acknowledged. Acquired delta is their VLA-scale integration, not invention of each component. Long task runs and throughput are source-reported, not independently verified deployment reliability.
Contributors
- Source-listed authors and technical contributors · SCIENCE: Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
- Physical Intelligence: advantage-conditioned learning from deployment and corrections — original technical report
- Physical Intelligence: advantage-conditioned learning from deployment and corrections — institutional account
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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