vix.ing · top · new · best · stats · spec

Kenneth O. Stanley

  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, Lehman, Joel, Jeff Clune +103 · 13 voices · 19 citations
    Computer Science · #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 · 89 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 · 78 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, Lehman, Joel, Elliot Meyerson +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 · 61 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. OMNI: Open-endedness via Models of human Notions of Interestingness
    2023/06/02 by Jenny Zhang, Zhang, Jenny, Joel Lehman +6 · 1 voice · 13 citations
    Computer Science · #cs.AI #cs.LG
  9. Learning to Continually Learn
    2020/02/21 by Shawn Beaulieu, Beaulieu, Shawn, Lapo Frati +12 · 1 voice · 6 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
  10. The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities
    2020/04/09 by Joel Lehman, Jeff Clune, Dusan Misevic +58 · 16 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Social Sciences · #Evolution and Genetic Dynamics #Evolutionary Algorithms and Applications #Evolutionary Game Theory and Cooperation
  11. Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions
    2020/03/19 by Rui Wang, Joel Lehman, Wang, Rui +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
  12. 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
  13. 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
  14. Why Open-Endedness Matters
    2019/08/01 by Kenneth O. Stanley · 11 citations
    Computer Science · #Cellular Automata and Applications #Computability, Logic, AI Algorithms #Evolutionary Algorithms and Applications
  15. 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)
  16. Quality-Diversity through AI Feedback
    2023/10/19 by Herbie Bradley, Andrew M. Dai, Bradley, Herbie +17 · 8 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Reinforcement Learning in Robotics
  17. On the Relationship Between the OpenAI Evolution Strategy and Stochastic Gradient Descent
    2017/12/18 by Xingwen Zhang, Jeff Clune, Zhang, Xingwen +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