Shared autonomy policy fine-tuning and alignment for robotic tasks
Assessment outcome
total 1/4 (actionability 0 + authority 1); currency unscored, so pro-rated to 1.5/6
Authorship & scope
The publishing journal and academic publishing body are clearly identified.
Level 1 (capped): the quote establishes a journal venue but does not establish the peer-review status required for Level 2.
Issuers, who it governs, legal force and content are on the full record.
Eligibility gates
HTTP 200, 13413 words of full text extracted
The source is explicitly about artificial intelligence, deep reinforcement learning, and policy fine-tuning for robotic systems.
It discusses safety, human oversight, alignment, and policy fine-tuning in AI systems.
The publishing journal and academic publishing body are clearly identified.
There is no text indicating that this published academic journal article has been superseded, retracted, or repealed.
Scored criteria
Actionability
0/2Level 0: The document provides a technical description and framework analysis of shared autonomy for robotic tasks without prescribing binding steps or obligations.
Authority
1/2Level 1 (capped): the quote establishes a journal venue but does not establish the peer-review status required for Level 2.
The International Journal of Robotics Research Impact Factor: 7.7 / 5-Year Impact Factor: 9.8
Currency
—computed: no publish/modified date found on the page (never guessed)