Choose an institution to see its records and dossier, or choose a topic.
Through year 2027 · all records, including scheduled dates 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2008 2005 1965 Show Organisations and infrastructure All types Organisation Person Document Concept Infrastructure Public body Reset filters
94 people, organisations and other records · 122 relationships · 34 claims about a valueEverything recorded up to the chosen year, whether or not still in effect · Undated records included
Claim and evidence Close ×
Scalable agent alignment via reward modeling: a research direction cites Supervising strong learners by amplifying weak experts. Copy claim link
Copy claim reference
Machine-checked, not reviewed by an editor Stated in source Supported
Supporting evidence: primary · 1 source
Date 2018-11-19 · publication Scope and limits Work-level citation; the cited revision is unspecified. Does not establish agreement, causal influence, implementation or institutional adoption. This is an explicit conceptual reformulation, not a report of implementing the earlier paper’s method.
The evidence 01 primary source Supports the claim
Scalable agent alignment via reward modeling: a research direction ↗ arXiv · 2018-11-19
Copy source reference
Cite the original source Cite the original document, not Selekoa. Check these details against it.
Copy APA
Download BibTeX Download RIS Download CSL-JSON
Paraphrase The authors describe recursive reward modelling as an instance of iterated amplification, replacing supervised or imitation learning with reward modelling.
Location in source PDF §3.2, p. 8, Discussion; p. 24, Christiano et al. (2018)
Machine-checked · 2026-09-25
Source details and check notes Authors Jan Leike; David Krueger; Tom Everitt; Miljan Martic; Vishal Maini; Shane Legg Version arXiv:1811.07871v1; first-submission date from version history. Later revisions are not substituted. Version date 2018-11-19 Canonical address Open the canonical source ↗ Accessed 2026-09-25 Language English (en) Attribution Jan Leike; David Krueger; Tom Everitt; Miljan Martic; Vishal Maini; Shane Legg, Scalable agent alignment via reward modeling: a research direction. Reuse No open redistribution licence asserted. Bibliographic metadata and brief attributed paraphrases only; source publications and personal contact details are not redistributed. Check notes Direct source inspection; machine check only. Work-level citation; the cited revision is unspecified. Does not establish agreement, causal influence, implementation or institutional adoption. This is an explicit conceptual reformulation, not a report of implementing the earlier paper’s method. Status and meaning Editorial status. Not reviewed by an editor . An exploratory record that no editor has accepted. This status does not say whether a person has read any linked passage. Each evidence record above shows how it was checked.
Relation. An explicit reference to a work. Citation alone is neither agreement nor causal influence.
Date. Date of the inspected arXiv v1 submission, not method invention.
Record ID lineage-ii-reward-cites-amplification