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Clare Lyle

  1. The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation
    2018/02/20 by Miles Brundage, Shahar Avin, Brundage, Miles +49 · 6 voices · 20 citations
    #cs.AI #cs.CR #cs.CY
  2. Understanding plasticity in neural networks
    2023/03/02 by Clare Lyle, Zeyu Zheng, Lyle, Clare +9 · 26 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  3. Understanding and Preventing Capacity Loss in Reinforcement Learning
    2022/04/20 by Clare Lyle, Mark Rowland, Lyle, Clare +3 · 11 citations
    Computer Science · #Reinforcement Learning in Robotics
  4. Mixtures of Experts Unlock Parameter Scaling for Deep RL
    2024/02/13 by Johan Obando-Ceron, Ghada Sokar, Obando-Ceron, Johan +15 · 13 citations
    Computer Science · Physics and Astronomy · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Model Reduction and Neural Networks
  5. Invariant Causal Prediction for Block MDPs
    2020/03/12 by Amy Zhang, Zhang, Amy, Clare Lyle +13 · 7 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
  6. Normalization and effective learning rates in reinforcement learning
    2024/07/01 by Clare Lyle, Zeyu Zheng, Lyle, Clare +11 · 12 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG)
  7. A Comparative Analysis of Expected and Distributional Reinforcement\n Learning
    2019/01/30 by Clare Lyle, Lyle, Clare, Pablo Samuel Castro +3 · 4 citations
    Computer Science · #Advanced Multi-Objective Optimization Algorithms #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  8. Agency Is Frame-Dependent
    2025/02/06 by David Abel, Abel, David, André Barreto +30 · 4 voices · 1 citation
    Neuroscience · Psychology · #Action Observation and Synchronization #Embodied and Extended Cognition #Free Will and Agency #cs.AI
  9. Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks
    2024/06/01 by Hojoon Lee, Lee, Hojoon, Hyeonseo Cho +11 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Chaos, Complexity, and Education #FOS: Computer and information sciences #Machine Learning (cs.LG)
  10. Optimizers Qualitatively Alter Solutions And We Should Leverage This
    2025/07/16 by Razvan Pascanu, Pascanu, Razvan, Clare Lyle +17 · 2 voices · 7 citations
    Computer Science · #Stochastic Gradient Optimization Techniques #Advanced Neural Network Applications #Explainable Artificial Intelligence (XAI)
  11. Plasticity as the Mirror of Empowerment
    2025/05/15 by David Abel, Abel, David, Michael Bowling +30 · 3 voices · 3 citations
    Neuroscience · Psychology · #cs.AI #cs.LG
  12. Speedy Performance Estimation for Neural Architecture Search
    2020/06/08 by Binxin Ru, Clare Lyle, Ru, Binxin +9 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Machine Learning and Data Classification
  13. A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning
    2024/06/04 by Khimya Khetarpal, Zhaohan Daniel Guo, Khetarpal, Khimya +17 · 1 citation
    Computer Science · #Evolutionary Algorithms and Applications #Reinforcement Learning in Robotics