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Will Dabney

  1. Rainbow: Combining Improvements in Deep Reinforcement Learning
    2017/10/06 by Matteo Hessel, Hessel, Matteo, Joseph Modayil +17 · 99 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  2. A Distributional Perspective on Reinforcement Learning
    2017/07/21 by Marc G. Bellemare, Bellemare, Marc G., Will Dabney +3 · 72 citations
    Business, Management and Accounting · Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Auction Theory and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Supply Chain and Inventory Management
  3. Implicit Quantile Networks for Distributional Reinforcement Learning
    2018/06/14 by Will Dabney, Dabney, Will, Georg Ostrovski +5 · 36 citations
    Computer Science · #Adaptive Dynamic Programming Control #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Reinforcement Learning in Robotics
  4. Successor Features for Transfer in Reinforcement Learning
    2016/06/16 by André Sales Barreto, Will Dabney, Barreto, André +11 · 30 citations
    Computer Science · #Reinforcement Learning in Robotics #Adaptive Dynamic Programming Control #Evolutionary Algorithms and Applications
  5. Understanding plasticity in neural networks
    2023/03/02 by Clare Lyle, Lyle, Clare, Zeyu Zheng +9 · 28 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
  6. The Cramer Distance as a Solution to Biased Wasserstein Gradients
    2017/05/30 by Marc G. Bellemare, Bellemare, Marc G., Ivo Danihelka +11 · 17 citations
    Mathematics · #FOS: Computer and information sciences #Geometric Analysis and Curvature Flows #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical Analysis and Transform Methods #Point processes and geometric inequalities
  7. Revisiting Fundamentals of Experience Replay
    2020/07/13 by William Fedus, Prajit Ramachandran, Fedus, William +11 · 17 citations
    Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #Age of Information Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Smart Grid Energy Management
  8. Distributed Distributional Deterministic Policy Gradients
    2018/04/23 by Gabriel Barth-Maron, Matthew W. Hoffman, Barth-Maron, Gabriel +15 · 17 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Robotic Locomotion and Control #Zebrafish Biomedical Research Applications
  9. Fast Task Inference with Variational Intrinsic Successor Features
    2019/06/12 by Steven Hansen, Hansen, Steven, Will Dabney +9 · 12 citations
    Computer Science · #Reinforcement Learning in Robotics #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning
  10. 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
  11. Understanding the performance gap between online and offline alignment algorithms
    2024/05/14 by Yunhao Tang, Tang, Yunhao, Daniel Guo +19 · 13 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Algorithms and Data Compression #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Gene expression and cancer classification #Genomics and Phylogenetic Studies #Machine Learning (cs.LG)
  12. Statistics and Samples in Distributional Reinforcement Learning
    2019/02/21 by Mark Rowland, Robert Dadashi, Rowland, Mark +9 · 7 citations
    Computer Science · #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  13. Hindsight Credit Assignment
    2019/12/05 by Anna Harutyunyan, Harutyunyan, Anna, Will Dabney +19 · 8 citations
    Computer Science · Business, Management and Accounting · #Reinforcement Learning in Robotics #Financial Distress and Bankruptcy Prediction
  14. 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)
  15. Settling the Reward Hypothesis
    2022/12/20 by Michael Bowling, Bowling, Michael, John D. Martin +5 · 6 citations
    Arts and Humanities · #Philosophy and History of Science
  16. The Difficulty of Passive Learning in Deep Reinforcement Learning
    2021/10/26 by Georg Ostrovski, Ostrovski, Georg, Pablo Samuel Castro +3 · 1 voice · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.LG
  17. Agency Is Frame-Dependent
    2025/02/06 by David Abel, André Barreto, Abel, David +30 · 4 voices · 1 citation
    Neuroscience · Psychology · #Action Observation and Synchronization #Embodied and Extended Cognition #Free Will and Agency #cs.AI
  18. Autoregressive Quantile Networks for Generative Modeling
    2018/06/14 by Georg Ostrovski, Will Dabney, Ostrovski, Georg +3 · 3 citations
    Computer Science · #Advanced Image Processing Techniques #Advanced Vision and Imaging #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  19. A Distributional Analogue to the Successor Representation
    2024/02/13 by Harley Wiltzer, Jesse Farebrother, Wiltzer, Harley +13 · 3 citations
    Economics, Econometrics and Finance · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Insurance and Financial Risk Management #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  20. 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
  21. Discovering Symbolic Cognitive Models from Human and Animal Behavior
    2025/02/06 by Pablo Samuel Castro, Nenad Tomašev, Ankit Anand +14 · 1 voice · 3 citations
    Computer Science · Social Sciences · #Evolutionary Algorithms and Applications #Reinforcement Learning in Robotics #Language and cultural evolution
  22. The Nature of Temporal Difference Errors in Multi-step Distributional Reinforcement Learning
    2022/07/15 by Yunhao Tang, Mark Rowland, Tang, Yunhao +9 · 1 citation
    Computer Science · #Reinforcement Learning in Robotics
  23. Learning Dynamics and Generalization in Reinforcement Learning
    2022/06/05 by Clare Lyle, Lyle, Clare, Mark Rowland +7 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  24. Bootstrapped Representations in Reinforcement Learning
    2023/06/16 by Charline Le Lan, Stephen Tu, Lan, Charline Le +11 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  25. A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning
    2024/06/04 by Khimya Khetarpal, Khetarpal, Khimya, Zhaohan Daniel Guo +17 · 1 citation
    Computer Science · #Evolutionary Algorithms and Applications #Reinforcement Learning in Robotics