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Clune, Jeff

  1. The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities
    2018/03/09 by Joel Lehman, Jeff Clune, Lehman, Joel +103 · 13 voices · 13 citations
    #cs.NE
  2. Genie: Generative Interactive Environments
    2024/02/23 by Jake Bruce, Bruce, Jake, Michael J. Dennis +50 · 11 voices · 133 citations
    Social Sciences · #Digital Games and Media
  3. The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
    2024/08/12 by Chris Lu, Lu, Chris, Cong Lu +10 · 19 voices · 188 citations
    Decision Sciences · #Scientific Computing and Data Management
  4. Deep Neural Networks are Easily Fooled: High Confidence Predictions for\n Unrecognizable Images
    2014/12/05 by Anh Nguyen, Anh‐Tu Nguyen, Nguyen, Anh +4 · 3 voices · 54 citations
    Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Industrial Vision Systems and Defect Detection #Visual Attention and Saliency Detection #cs.AI #cs.CV #cs.NE
  5. Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents
    2025/05/29 by Jenny Zhang, Zhang, Jenny, Shengran Hu +7 · 18 voices · 58 citations
    #cs.AI
  6. Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning
    2017/12/18 by Felipe Petroski Such, Such, Felipe Petroski, Vashisht Madhavan +9 · 1 voice · 58 citations
    Computer Science · Engineering · #Reinforcement Learning in Robotics #Evolutionary Algorithms and Applications #Modular Robots and Swarm Intelligence
  7. Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos
    2022/06/23 by Bowen Baker, Ilge Akkaya, Baker, Bowen +16 · 1 voice · 46 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Reinforcement Learning in Robotics #cs.AI #cs.LG
  8. Automated Design of Agentic Systems
    2024/08/15 by Shengran Hu, Cong Lu, Hu, Shengran +3 · 7 voices · 53 citations
    Computer Science · Engineering · #cs.AI
  9. Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis
    2025/05/16 by Akarsh Kumar, Jeff Clune, Kumar, Akarsh +5 · 14 voices · 9 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Neural Networks and Reservoir Computing #Stochastic Gradient Optimization Techniques #cs.CV #cs.LG #cs.NE
  10. AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence
    2019/05/27 by Jeff Clune, Clune, Jeff · 2 voices · 7 citations
    #cs.AI
  11. Illuminating search spaces by mapping elites
    2015/04/20 by Jean-Baptiste Mouret, Mouret, Jean-Baptiste, Jeff Clune +1 · 65 citations
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #Digital Games and Media #FOS: Biological sciences #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE) #Populations and Evolution (q-bio.PE) #Reinforcement Learning in Robotics #Robotics (cs.RO)
  12. Understanding Neural Networks Through Deep Visualization
    2015/06/22 by Jason Yosinski, Jeff Clune, Yosinski, Jason +7 · 58 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  13. Go-Explore: a New Approach for Hard-Exploration Problems
    2019/01/30 by Adrien Ecoffet, Ecoffet, Adrien, Joost Huizinga +7 · 1 voice · 55 citations
    Computer Science · #Reinforcement Learning in Robotics #Artificial Intelligence in Games #Multimodal Machine Learning Applications
  14. Thought Cloning: Learning to Think while Acting by Imitating Human Thinking
    2023/06/01 by Shengran Hu, Hu, Shengran, Jeff Clune +1 · 1 voice · 5 citations
    Computer Science · #Data Stream Mining Techniques #Explainable Artificial Intelligence (XAI) #Reinforcement Learning in Robotics #cs.AI #cs.LG
  15. Automated Capability Discovery via Foundation Model Self-Exploration
    2025/02/11 by Cong Lu, Shengran Hu, Lu, Cong +3 · 9 voices · 5 citations
    Computer Science · #Advanced Database Systems and Queries #Semantic Web and Ontologies
  16. Synthesizing the preferred inputs for neurons in neural networks via\n deep generator networks
    2016/05/30 by Anh Son Nguyen, Alexey Dosovitskiy, Nguyen, Anh +8 · 38 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cell Image Analysis Techniques #Neural Networks and Applications #Advanced Neural Network Applications
  17. Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks
    2016/02/11 by Anh Nguyen, Jason Yosinski, Nguyen, Anh +3 · 1 voice · 7 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE) #cs.CV #cs.NE
  18. Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions
    2019/01/07 by Rui Wang, Joel Lehman, Wang, Rui +5 · 38 citations
    Computer Science · #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning and Algorithms #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics
  19. Convergent Learning: Do different neural networks learn the same representations?
    2015/11/24 by Li, Yixuan, Yosinski, Jason, Clune, Jeff +2 · 19 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  20. The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
    2025/04/10 by Yamada, Yutaro, Lange, Robert Tjarko, Lu, Cong +5 · 72 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  21. OMNI: Open-endedness via Models of human Notions of Interestingness
    2023/06/02 by Jenny Zhang, Zhang, Jenny, Joel Lehman +6 · 1 voice · 7 citations
    Computer Science · #cs.AI #cs.LG
  22. OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code
    2024/05/24 by Maxence Faldor, Jenny Zhang, Faldor, Maxence +5 · 1 voice · 12 citations
    Computer Science · Business, Management and Accounting · Decision Sciences · #cs.AI
  23. Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
    2017/12/18 by Conti, Edoardo, Madhavan, Vashisht, Such, Felipe Petroski +3 · 6 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  24. Scaling Instructable Agents Across Many Simulated Worlds
    2024/03/13 by SIMA team, Maria Abi Raad, SIMA Team +184 · 14 citations
    Computer Science · #Robotic Path Planning Algorithms #Teaching and Learning Programming
  25. Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions
    2020/03/19 by Rui Wang, Wang, Rui, Joel Lehman +11 · 1 voice · 6 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Modular Robots and Swarm Intelligence #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics #Robot Manipulation and Learning #cs.NE
  26. A deep active learning system for species identification and counting in camera trap images
    2019/10/22 by Norouzzadeh, Mohammad Sadegh, Morris, Dan, Beery, Sara +3 · 5 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #electronic engineering #information engineering
  27. Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models
    2024/05/24 by Lu, Cong, Hu, Shengran, Clune, Jeff · 10 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  28. Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data
    2019/12/17 by Felipe Petroski Such, Such, Felipe Petroski, Aditya Rawal +7 · 5 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  29. Learning to Continually Learn
    2020/02/21 by Shawn Beaulieu, Lapo Frati, Beaulieu, Shawn +11 · 1 voice · 1 citation
    Computer Science · Mathematics · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #cs.CV #cs.LG #cs.NE #stat.ML
  30. Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft
    2021/06/28 by Kanitscheider, Ingmar, Huizinga, Joost, Farhi, David +9 · 4 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  31. Understanding Neural Networks via Feature Visualization: A survey
    2019/04/18 by Nguyen, Anh, Yosinski, Jason, Clune, Jeff · 3 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  32. Quality-Diversity through AI Feedback
    2023/10/19 by Herbie Bradley, Andrew M. Dai, Bradley, Herbie +17 · 5 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Reinforcement Learning in Robotics
  33. On the Relationship Between the OpenAI Evolution Strategy and Stochastic Gradient Descent
    2017/12/18 by Xingwen Zhang, Zhang, Xingwen, Jeff Clune +3 · 3 citations
    Computer Science · #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Metaheuristic Optimization Algorithms Research #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics
  34. ES Is More Than Just a Traditional Finite-Difference Approximator
    2017/12/18 by Lehman, Joel, Chen, Jay, Clune, Jeff +1 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE)
  35. Evolving Multimodal Robot Behavior via Many Stepping Stones with the Combinatorial Multi-Objective Evolutionary Algorithm
    2018/07/09 by Huizinga, Joost, Clune, Jeff · 2 citations
    #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE)
  36. The Singapore Consensus on Global AI Safety Research Priorities
    2025/06/25 by Yoshua Bengio, Tegan Maharaj, Bengio, Yoshua +171 · 2 voices · 8 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences #cs.AI #cs.CY
  37. Robustness to Out-of-Distribution Inputs via Task-Aware Generative\n Uncertainty
    2018/12/27 by Rowan McAllister, McAllister, Rowan, Gregory Kahn +5 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  38. Deep Curiosity Search: Intra-Life Exploration Can Improve Performance on\n Challenging Deep Reinforcement Learning Problems
    2018/06/01 by Christopher Stanton, Stanton, Christopher, Jeff Clune +2 · 4 citations
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #Digital Games and Media #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics
  39. Resolving the paradox of evolvability with learning theory: How\n evolution learns to improve evolvability on rugged fitness landscapes
    2016/12/18 by Loizos Kounios, Kounios, Loizos, Jeff Clune +11 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Social Sciences · #Evolution and Genetic Dynamics #Evolutionary Algorithms and Applications #Evolutionary Game Theory and Cooperation #FOS: Biological sciences #Populations and Evolution (q-bio.PE)
  40. First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs
    2023/07/05 by Norman, Ben, Clune, Jeff · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  41. Continual learning under domain transfer with sparse synaptic bursting
    2021/08/26 by Beaulieu, Shawn L., Clune, Jeff, Cheney, Nick · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  42. SIMA 2: A Generalist Embodied Agent for Virtual Worlds
    2025/12/04 by Adrian Bolton, SIMA team, Alexander Lerchner +135 · 3 voices · 2 citations
    Computer Science · Psychology · #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics #Social Robot Interaction and HRI #cs.AI #cs.RO
  43. Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization
    2023/10/18 by Ding, Li, Zhang, Jenny, Clune, Jeff +2 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE)
  44. Foundation Model Self-Play: Open-Ended Strategy Innovation via Foundation Models
    2025/07/09 by Aaron Dharna, Cong Lu, Dharna, Aaron +3 · 2 voices · 2 citations
    #cs.LG #cs.AI