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Jeff Clune

Identifiers

  • name variant Jeff Clune 0.60 · backfill

Papers (60)

  1. Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents cs.AI · 2025 · author #5
  2. The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search cs.AI · 2025 · author #7
  3. Automated Design of Agentic Systems cs.AI · 2024 · author #3
  4. The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery cs.AI · 2024 · author #5
  5. Scaling Instructable Agents Across Many Simulated Worlds cs.RO · 2024 · author #13
  6. Genie: Generative Interactive Environments cs.LG · 2024 · author #22
  7. Managing extreme AI risks amid rapid progress cs.CY · 2023 · author #12
  8. Quality-Diversity through AI Feedback cs.CL · 2023 · author #7
  9. Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization cs.AI · 2023 · author #3
  10. Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning cs.LG · 2023 · author #3
  11. First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs cs.LG · 2023 · author #2
  12. OMNI: Open-endedness via Models of human Notions of Interestingness cs.AI · 2023 · author #4
  13. Thought Cloning: Learning to Think while Acting by Imitating Human Thinking cs.AI · 2023 · author #2
  14. Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos cs.LG · 2022 · author #9
  15. Continual learning under domain transfer with sparse synaptic bursting cs.LG · 2021 · author #2
  16. Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft cs.LG · 2021 · author #12
  17. Open Questions in Creating Safe Open-ended AI: Tensions Between Control and Creativity cs.NE · 2020 · author #2
  18. Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search cs.LG · 2020 · author #4
  19. First return, then explore cs.AI · 2020 · author #5
  20. Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods cs.LG · 2020 · author #3
  21. Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions cs.NE · 2020 · author #6
  22. Scaling MAP-Elites to Deep Neuroevolution cs.NE · 2020 · author #4
  23. Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity cs.NE · 2020 · author #3
  24. Learning to Continually Learn cs.LG · 2020 · author #6
  25. Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data cs.LG · 2019 · author #5
  26. A deep active learning system for species identification and counting in camera trap images cs.LG · 2019 · author #6
  27. Evolvability ES: Scalable and Direct Optimization of Evolvability cs.NE · 2019 · author #2
  28. AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence cs.AI · 2019 · author #1
  29. Understanding Neural Networks via Feature Visualization: A survey cs.LG · 2019 · author #3
  30. Go-Explore: a New Approach for Hard-Exploration Problems cs.LG · 2019 · author #5
  31. Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions cs.NE · 2019 · author #3
  32. Robustness to Out-of-Distribution Inputs via Task-Aware Generative Uncertainty cs.LG · 2018 · author #3
  33. An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents cs.NE · 2018 · author #10
  34. Evolving Multimodal Robot Behavior via Many Stepping Stones with the Combinatorial Multi-Objective Evolutionary Algorithm cs.NE · 2018 · author #2
  35. Deep Curiosity Search: Intra-Life Exploration Can Improve Performance on Challenging Deep Reinforcement Learning Problems cs.AI · 2018 · author #2
  36. VINE: An Open Source Interactive Data Visualization Tool for Neuroevolution cs.NE · 2018 · author #2
  37. Differentiable plasticity: training plastic neural networks with backpropagation cs.NE · 2018 · author #2
  38. The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities cs.NE · 2018 · author #2
  39. ES Is More Than Just a Traditional Finite-Difference Approximator cs.NE · 2017 · author #3
  40. Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning cs.NE · 2017 · author #6
  41. On the Relationship Between the OpenAI Evolution Strategy and Stochastic Gradient Descent cs.NE · 2017 · author #2
  42. Safe Mutations for Deep and Recurrent Neural Networks through Output Gradients cs.NE · 2017 · author #3
  43. Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents cs.AI · 2017 · author #6
  44. Diffusion-based neuromodulation can eliminate catastrophic forgetting in simple neural networks cs.NE · 2017 · author #2
  45. The Emergence of Canalization and Evolvability in an Open-Ended, Interactive Evolutionary System cs.NE · 2017 · author #3
  46. Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning cs.CV · 2017 · author #7
  47. Resolving the paradox of evolvability with learning theory: How evolution learns to improve evolvability on rugged fitness landscapes q-bio.PE · 2016 · author #2
  48. Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space cs.CV · 2016 · author #2
  49. Synthesizing the preferred inputs for neurons in neural networks via deep generator networks cs.NE · 2016 · author #5
  50. Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks cs.NE · 2016 · author #3
  51. Convergent Learning: Do different neural networks learn the same representations? cs.LG · 2015 · author #3
  52. How Evolution Learns to Generalise: Principles of under-fitting, over-fitting and induction in the evolution of developmental organisation q-bio.PE · 2015 · author #2
  53. Understanding Neural Networks Through Deep Visualization cs.CV · 2015 · author #2
  54. The evolutionary origins of hierarchy cs.NE · 2015 · author #4
  55. Illuminating search spaces by mapping elites cs.AI · 2015 · author #2
  56. Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images cs.CV · 2014 · author #3
  57. How transferable are features in deep neural networks? cs.LG · 2014 · author #2
  58. Robots that can adapt like animals cs.RO · 2014 · author #2
  59. Hands-free Evolution of 3D-printable Objects via Eye Tracking cs.NE · 2013 · author #2
  60. The evolutionary origins of modularity q-bio.PE · 2012 · author #1

Mentions

  • 2307.02276 #2 · arxiv_oai · confidence 0.70 Jeff Clune
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  • 1511.07543 #3 · backfill · confidence 0.70 Jeff Clune
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  • 1207.2743 #1 · backfill · confidence 0.70 Jeff Clune
  • 2505.22954 #5 · arxiv_oai · confidence 0.70 Jeff Clune

Frequent Coauthors