Quality-Diversity through AI Feedback

no code implementations • 19 Oct 2023 • Herbie Bradley, Andrew Dai, Hannah Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth Stanley, Grégory Schott, Joel Lehman

In many text-generation problems, users may prefer not only a single response, but a diverse range of high-quality outputs from which to choose.

Text Generation

OMNI: Open-endedness via Models of human Notions of Interestingness

1 code implementation • 2 Jun 2023 • Jenny Zhang, Joel Lehman, Kenneth Stanley, Jeff Clune

An Achilles Heel of open-endedness research is the inability to quantify (and thus prioritize) tasks that are not just learnable, but also $\textit{interesting}$ (e. g., worthwhile and novel).