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

v1v2v3 (latest)

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

2 June 2023

Kenneth O. Stanley

Jeff Clune

ArXiv (abs)PDF HTML

Papers citing "OMNI: Open-endedness via Models of human Notions of Interestingness"

9 / 9 papers shown

Title
Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations Christoph Schirninger Robert Jarolim Astrid M. Veronig Christoph Kuckein 95 1 0 05 Jun 2025
A Self-Improving Coding Agent Maxime Robeyns Martin Szummer Laurence Aitchison LLMAG 136 1 0 21 Apr 2025
Intrinsically-Motivated Humans and Agents in Open-World Exploration Aly Lidayan Yuqing Du Eliza Kosoy Maria Rufova Pieter Abbeel Alison Gopnik 106 2 0 31 Mar 2025
SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models Cansu Sancaktar Christian Gumbsch Andrii Zadaianchuk Pavel Kolev Georg Martius LM&Ro VLM 161 2 0 03 Mar 2025
DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback Zaid Khan Elias Stengel-Eskin Jaemin Cho Joey Tianyi Zhou VGen 159 3 0 08 Oct 2024
Automating Traffic Model Enhancement with AI Research Agent Xusen Guo Xinxi Yang Mingxing Peng Hongliang Lu Meixin Zhu Hai Yang 139 1 0 25 Sep 2024
Automated Design of Agentic Systems Shengran Hu Cong Lu Jeff Clune AI4CE 138 62 0 15 Aug 2024
Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models Cong Lu Shengran Hu Jeff Clune LLMAG 119 12 0 24 May 2024
A Survey on Large Language Model-Based Game Agents Sihao Hu Tiansheng Huang Gaowen Liu Ramana Rao Kompella Gaowen Liu Selim Furkan Tekin Yichang Xu Zachary Yahn Ling Liu LLMAG LM&Ro AI4CE LM&MA 226 57 0 02 Apr 2024

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.