Construct · 1 fields · 1 citations

recursive reward modeling: a standalone construct

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AI safety

an alignment research direction in which agents learn reward models from user feedback and help users evaluate more complex tasks for later agents.

In AI safety, recursive reward modeling refers to an alignment research direction in which agents learn reward models from user feedback and help users evaluate more complex tasks for later agents. This meaning comes from Leike (2018) in arXiv.[1]

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Nearby constructs

alignment6 fields · 12 citationsjingle · one name, six constructs complex4 fields · 4 citationsjingle · one word, four constructs feedback4 fields · 5 citationsjingle · one word, four constructs

References

Leike, J., Krueger, D., Everitt, T., Martic, M., Maini, V., & Legg, S. (2018). Scalable agent alignment via reward modeling: a research direction. arXiv. https://doi.org/10.48550/arxiv.1811.07871

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