Open-Endedness is Essential for Artificial Superhuman Intelligence

Open-Endedness is Essential for Artificial Superhuman Intelligence

6 June 2024

Jack Parker-Holder

Feryal M. P. Behbahani

Aditi Mavalankar

Tim Rocktaschel

Papers citing "Open-Endedness is Essential for Artificial Superhuman Intelligence"

19 / 19 papers shown

Title
Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis Akarsh Kumar Jeff Clune Joel Lehman Kenneth O. Stanley OOD 4 0 0 16 May 2025
Opening the Scope of Openness in AI Tamara Paris AJung Moon Jin Guo 31 0 0 09 May 2025
A Self-Improving Coding Agent Maxime Robeyns Martin Szummer Laurence Aitchison LLMAG 46 0 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 59 1 0 31 Mar 2025
Measuring In-Context Computation Complexity via Hidden State Prediction Vincent Herrmann Róbert Csordás Jürgen Schmidhuber 44 0 0 17 Mar 2025
Research on Superalignment Should Advance Now with Parallel Optimization of Competence and Conformity HyunJin Kim Xiaoyuan Yi Jing Yao Muhua Huang Jinyeong Bak James Evans Xing Xie 44 0 0 08 Mar 2025
Toward an Evaluation Science for Generative AI Systems Laura Weidinger Deb Raji Hanna M. Wallach Margaret Mitchell Angelina Wang Olawale Salaudeen Rishi Bommasani Sayash Kapoor Deep Ganguli Sanmi Koyejo EGVM ELM 67 4 0 07 Mar 2025
Evolution and The Knightian Blindspot of Machine Learning Joel Lehman Elliot Meyerson Tarek El-Gaaly Kenneth O. Stanley Tarin Ziyaee 86 1 0 22 Jan 2025
Incentives to Build Houses, Trade Houses, or Trade House Building Skills in Simulated Worlds under Various Governing Systems or Institutions: Comparing Multi-agent Reinforcement Learning to Generative Agent-based Model Aslan S. Dizaji 68 0 0 21 Nov 2024
BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games Davide Paglieri Bartłomiej Cupiał Samuel Coward Ulyana Piterbarg Maciej Wolczyk ... Lerrel Pinto Rob Fergus Jakob Foerster Jack Parker-Holder Tim Rocktaschel LLMAG LRM 113 10 0 20 Nov 2024
Towards evaluations-based safety cases for AI scheming Mikita Balesni Marius Hobbhahn David Lindner Alexander Meinke Tomek Korbak ... Dan Braun Bilal Chughtai Owain Evans Daniel Kokotajlo Lucius Bushnaq ELM 47 9 0 29 Oct 2024
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts Mikayel Samvelyan Sharath Chandra Raparthy Andrei Lupu Eric Hambro Aram H. Markosyan ... Minqi Jiang Jack Parker-Holder Jakob Foerster Tim Rocktaschel Roberta Raileanu SyDa 80 62 0 26 Feb 2024
Self-Rewarding Language Models Weizhe Yuan Richard Yuanzhe Pang Kyunghyun Cho Xian Li Sainbayar Sukhbaatar Jing Xu Jason Weston ReLM SyDa ALM LRM 239 298 0 18 Jan 2024
Generative Agents: Interactive Simulacra of Human Behavior J. Park Joseph C. O'Brien Carrie J. Cai Meredith Ringel Morris Percy Liang Michael S. Bernstein LM&Ro AI4CE 232 1,742 0 07 Apr 2023
Vision-Language Models as Success Detectors Yuqing Du Ksenia Konyushkova Misha Denil A. Raju Jessica Landon Felix Hill Nando de Freitas Serkan Cabi MLLM LRM 91 77 0 13 Mar 2023
MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning Mikayel Samvelyan Akbir Khan Michael Dennis Minqi Jiang Jack Parker-Holder Jakob N. Foerster Roberta Raileanu Tim Rocktaschel 54 24 0 06 Mar 2023
Emergent Bartering Behaviour in Multi-Agent Reinforcement Learning Michael Bradley Johanson Edward Hughes Finbarr Timbers Joel Z. Leibo 24 22 0 13 May 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 330 11,953 0 04 Mar 2022
Fine-Tuning Language Models from Human Preferences Daniel M. Ziegler Nisan Stiennon Jeff Wu Tom B. Brown Alec Radford Dario Amodei Paul Christiano G. Irving ALM 292 1,595 0 18 Sep 2019