JC
Jeff Clune
cs.LGcs.NEcs.AIcs.CVstat.MLcs.CLAlgorithmsBiological EvolutionComputer SimulationArtificial Intelligence
On Valency
published · living versionsW_cq6yaddd·v1 · currentpublished
The evolutionary origins of hierarchy
with Henok Mengistu, Joost Huizinga, Jean-Baptiste Mouret
1 version
Preprints & journals
83 papers in the corpus · 2008–2026AI Finds A Way2608.23875v2 · Aaron Dharna, Cong Lu, Ryan Sullivan et al.2026 · 0 citationsarXiv
Towards End-to-End Automation of AI Research2606.15497v1 · Yutaro Yamada, Robert Tjarko Lange, Cong Lu et al.2026 · 90 citationsarXiv
Towards end-to-end automation of AI research.41882133 · Lu, Chris, Lu, Cong, Lange, Robert Tjarko et al.2026 · 90 citationsNature. 2026;651(8107):914-919
Hyperagents2603.19461v1 · Jenny Zhang, Bingchen Zhao, Wannan Yang et al.2026 · 0 citationsarXiv
Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents2505.22954v3 · Jenny Zhang, Shengran Hu, Cong Lu et al.2025 · 26 citationsarXiv
SIMA 2: A Generalist Embodied Agent for Virtual Worlds2512.04797v1 · SIMA team: Adrian Bolton, Alexander Lerchner, Alexandra Cordell et al.2025 · 0 citationsarXiv
How Weight Resampling and Optimizers Shape the Dynamics of Continual Learning and Forgetting in Neural Networks2507.01559v1 · Lapo Frati, Neil Traft, Jeff Clune et al.2025 · 0 citationsarXiv
The Singapore Consensus on Global AI Safety Research Priorities2506.20702v2 · Yoshua Bengio, Tegan Maharaj, Luke Ong et al.2025 · 5 citationsarXiv
Automated Capability Discovery via Foundation Model Self-Exploration2502.07577v3 · Cong Lu, Shengran Hu, Jeff Clune2025 · 1 citationarXiv
Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis2505.11581v1 · Akarsh Kumar, Jeff Clune, Joel Lehman et al.2025 · 1 citationarXiv
The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search2504.08066v1 · Yutaro Yamada, Robert Tjarko Lange, Cong Lu et al.2025 · 30 citationsarXiv
Automated Design of Agentic Systems2408.08435v2 · Shengran Hu, Cong Lu, Jeff Clune2024 · 8 citationsarXiv
First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs2307.02276v2 · Ben Norman, Jeff Clune2023 · 2 citationsarXiv
Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning2310.07996v2 · Lapo Frati, Neil Traft, Jeff Clune et al.2023 · 1 citationarXiv
Scaling Instructable Agents Across Many Simulated Worlds2404.10179v3 · SIMA Team, Maria Abi Raad, Arun Ahuja et al.2024 · 9 citationsarXiv
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery2408.06292v3 · Chris Lu, Cong Lu, Robert Tjarko Lange et al.2024 · 115 citationsarXiv
Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization2310.12103v3 · Li Ding, Jenny Zhang, Jeff Clune et al.2023 · 5 citationsarXiv
Managing extreme AI risks amid rapid progress2310.17688v3 · Yoshua Bengio, Geoffrey Hinton, Andrew Yao et al.2023 · 337 citationsarXiv
Improving the accessibility and transferability of machine learning algorithms for identification of animals in camera trap images: MLWIC2.33072266 · Tabak, Michael A, Norouzzadeh, Mohammad S, Wolfson, David W et al.2024 · 93 citationsEcology and evolution. 2020;10(19):10374-10383
Genie: Generative Interactive Environments2402.15391v1 · Jake Bruce, Michael Dennis, Ashley Edwards et al.2024 · 12 citationsarXiv
OMNI: Open-endedness via Models of human Notions of Interestingness2306.01711v3 · Jenny Zhang, Joel Lehman, Kenneth Stanley et al.2023 · 4 citationsarXiv
Continual learning under domain transfer with sparse synaptic bursting2108.12056v9 · Shawn L. Beaulieu, Jeff Clune, Nick Cheney2021 · 0 citationsarXiv
Quality-Diversity through AI Feedback2310.13032v4 · Herbie Bradley, Andrew Dai, Hannah Teufel et al.2023 · 6 citationsarXiv
Evolving Multimodal Robot Behavior via Many Stepping Stones with the Combinatorial Multiobjective Evolutionary Algorithm.34818410 · Huizinga, Joost, Clune, Jeff2022 · 19 citationsEvolutionary computation. 2022;30(2):131-164
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity2002.10585v1 · Thomas Miconi, Aditya Rawal, Jeff Clune et al.2020 · 45 citations7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019
Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft2106.14876v1 · Ingmar Kanitscheider, Joost Huizinga, David Farhi et al.2021 · 9 citationsarXiv
Go-Explore: a New Approach for Hard-Exploration Problems1901.10995v4 · Adrien Ecoffet, Joost Huizinga, Joel Lehman et al.2019 · 208 citationsarXiv
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities.32271631 · Lehman, Joel, Clune, Jeff, Misevic, Dusan et al.2021 · 217 citationsArtificial life. 2020;26(2):274-306
Open Questions in Creating Safe Open-ended AI: Tensions Between Control and Creativity2006.07495v1 · Adrien Ecoffet, Jeff Clune, Joel Lehman2020 · 6 citationsarXiv
Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search2005.13092v1 · Aditya Rawal, Joel Lehman, Felipe Petroski Such et al.2020 · 4 citationsarXiv
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions2003.08536v2 · Rui Wang, Joel Lehman, Aditya Rawal et al.2020 · 49 citationsarXiv
Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods2003.11164v1 · Jiale Zhi, Rui Wang, Jeff Clune et al.2020 · 5 citationsarXiv
Improving the accessibility and transferability of machine learning algorithms for identification of animals in camera trap images: MLWIC210.1101/2020.03.18.997700v2 · Tabak, M. A., Norouzzadeh, M. S., Wolfson, D. W. et al.2020 · 93 citationsbioRxiv
Learning to Continually Learn2002.09571v2 · Shawn Beaulieu, Lapo Frati, Thomas Miconi et al.2020 · 64 citationsarXiv
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence1905.10985v2 · Jeff Clune2019 · 86 citationsarXiv
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data1912.07768v1 · Felipe Petroski Such, Aditya Rawal, Joel Lehman et al.2019 · 76 citationsarXiv
Evolving Multimodal Robot Behavior via Many Stepping Stones with the Combinatorial Multi-Objective Evolutionary Algorithm1807.03392v2 · Joost Huizinga, Jeff Clune2018 · 21 citationsarXiv
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities1803.03453v4 · Joel Lehman, Jeff Clune, Dusan Misevic et al.2018 · 258 citationsarXiv
Correction: Curiosity Search: Producing Generalists by Encouraging Individuals to Continually Explore and Acquire Skills Throughout Their Lifetime.28006824 · Stanton, Christopher, Clune, Jeff2019 · 0 citationsPloS one. 2016;11(12):e0169313
A deep active learning system for species identification and counting in camera trap images1910.09716v1 · Mohammad Sadegh Norouzzadeh, Dan Morris, Sara Beery et al.2019 · 219 citationsarXiv
Evolvability ES: Scalable and Direct Optimization of Evolvability1907.06077v1 · Alexander Gajewski, Jeff Clune, Kenneth O. Stanley et al.2019 · 9 citationsarXiv
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents1812.07069v2 · Felipe Petroski Such, Vashisht Madhavan, Rosanne Liu et al.2018 · 31 citationsarXiv
Understanding Neural Networks via Feature Visualization: A survey1904.08939v1 · Anh Nguyen, Jason Yosinski, Jeff Clune2019 · 152 citationsarXiv
Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions1901.01753v3 · Rui Wang, Joel Lehman, Jeff Clune et al.2019 · 118 citationsarXiv
The Emergence of Canalization and Evolvability in an Open-Ended, Interactive Evolutionary System1704.05143v2 · Joost Huizinga, Kenneth O. Stanley, Jeff Clune2017 · 22 citationsArtificial life, 24(3), pp.157-181 (2018)
Robustness to Out-of-Distribution Inputs via Task-Aware Generative Uncertainty1812.10687v1 · Rowan McAllister, Gregory Kahn, Jeff Clune et al.2018 · 27 citationsarXiv
Deep Curiosity Search: Intra-Life Exploration Can Improve Performance on Challenging Deep Reinforcement Learning Problems1806.00553v3 · Christopher Stanton, Jeff Clune2018 · 23 citationsarXiv
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents1712.06560v3 · Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such et al.2017 · 235 citationsarXiv
WebAL Comes of Age: A Review of the First 21 Years of Artificial Life on the Web.27472416 · Taylor, Tim, Auerbach, Joshua E, Bongard, Josh et al.2018 · 12 citationsArtificial life. 2016;22(3):364-407
Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning.29871948 · Norouzzadeh, Mohammad Sadegh, Nguyen, Anh, Kosmala, Margaret et al.2018 · 1,261 citationsProceedings of the National Academy of Sciences of the United States of America. 2018;115(25):E5716-E5725
Career total: 145 works. 83 are in this corpus.Showing the 50 most recent.
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