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Stanley, Kenneth O.

  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 +113 · 13 voices · 22 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Social Sciences · #Evolution and Genetic Dynamics #Evolutionary Game Theory and Cooperation #Language and cultural evolution #cs.NE
  2. 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 · 93 citations
    Computer Science · Engineering · #Reinforcement Learning in Robotics #Evolutionary Algorithms and Applications #Modular Robots and Swarm Intelligence
  3. Evolution through Large Models
    2022/06/17 by Joel Lehman, Lehman, Joel, Jonathan Gordon +9 · 2 voices · 26 citations
    Computer Science · #Evolutionary Algorithms and Applications #Machine Learning and Algorithms #Reinforcement Learning in Robotics #cs.NE
  4. Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis
    2025/05/16 by Akarsh Kumar, Kumar, Akarsh, Jeff Clune +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
  5. Go-Explore: a New Approach for Hard-Exploration Problems
    2019/01/30 by Adrien Ecoffet, Ecoffet, Adrien, Joost Huizinga +7 · 1 voice · 79 citations
    Computer Science · #Reinforcement Learning in Robotics #Artificial Intelligence in Games #Multimodal Machine Learning Applications
  6. Evolution and The Knightian Blindspot of Machine Learning
    2025/01/22 by Joel Lehman, Elliot Meyerson, Lehman, Joel +7 · 10 voices · 7 citations
    Computer Science · #Computability, Logic, AI Algorithms #Evolutionary Algorithms and Applications
  7. Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions
    2019/01/07 by Rui Wang, Wang, Rui, Joel Lehman +5 · 63 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
  8. Learning to Continually Learn
    2020/02/21 by Shawn Beaulieu, L. Frati, Lapo Frati +12 · 1 voice · 7 citations
    Computer Science · Mathematics · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #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
  9. 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 · 16 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
  10. Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
    2017/12/18 by Edoardo Conti, Conti, Edoardo, Vashisht Madhavan +9 · 13 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Metaheuristic Optimization Algorithms Research #Reinforcement Learning in Robotics
  11. Automating the Search for Artificial Life with Foundation Models
    2024/12/23 by Akarsh Kumar, Chris Xiaoxuan Lu, Kumar, Akarsh +12 · 6 voices · 18 citations
    Engineering · #Modular Robots and Swarm Intelligence
  12. 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 · 10 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)
  13. On the Relationship Between the OpenAI Evolution Strategy and Stochastic Gradient Descent
    2017/12/18 by Xingwen Zhang, Zhang, Xingwen, Jeff Clune +3 · 5 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
  14. ES Is More Than Just a Traditional Finite-Difference Approximator
    2017/12/18 by Lehman, Joel, Chen, Jay, Clune, Jeff +1 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE)
  15. Deep Neuroevolution of Recurrent and Discrete World Models
    2019/04/28 by Sebastian Risi, Risi, Sebastian, Kenneth O. Stanley +1 · 1 voice · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE) #cs.AI #cs.NE
  16. Safe Mutations for Deep and Recurrent Neural Networks through Output Gradients
    2017/12/18 by Lehman, Joel, Chen, Jay, Clune, Jeff +1 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE)