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White, Adam

  1. Empirical Design in Reinforcement Learning
    2023/04/03 by Andrew D. Patterson, Andrew Patterson, Samuel Neumann +6 · 3 voices · 8 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Software Engineering Research #Viral Infectious Diseases and Gene Expression in Insects #cs.AI #cs.LG
  2. Loss of Plasticity in Continual Deep Reinforcement Learning
    2023/03/13 by Zaheer Abbas, Abbas, Zaheer, Rosie Zhao +7 · 1 voice · 16 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.LG
  3. Application-Driven Innovation in Machine Learning
    2024/03/26 by Rolnick, David, Aspuru-Guzik, Alan, Beery, Sara +8 · 8 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  4. A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning
    2021/04/28 by Patterson, Andrew, White, Adam, White, Martha · 4 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  5. Investigating the Properties of Neural Network Representations in Reinforcement Learning
    2022/03/30 by Han Wang, Erfan Miahi, Wang, Han +13 · 4 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  6. Goal-Space Planning with Subgoal Models
    2022/06/06 by Chunlok Lo, Lo, Chunlok, Roice, Kevin +6 · 3 citations
    Computer Science · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
  7. Organizing Experience: A Deeper Look at Replay Mechanisms for Sample-based Planning in Continuous State Domains
    2018/06/12 by Pan, Yangchen, Zaheer, Muhammad, White, Adam +2 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  8. Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy Improvement
    2018/10/22 by Neumann, Samuel, Lim, Sungsu, Joseph, Ajin +3 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  9. Measurable Counterfactual Local Explanations for Any Classifier
    2019/08/08 by White, Adam, Garcez, Artur d'Avila · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  10. Improving Performance in Reinforcement Learning by Breaking Generalization in Neural Networks
    2020/03/16 by Sina Ghiassian, Ghiassian, Sina, Banafsheh Rafiee +5 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics
  11. Auxiliary task discovery through generate-and-test
    2022/10/25 by Banafsheh Rafiee, Rafiee, Banafsheh, Sina Ghiassian +9 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  12. A Method for Evaluating Hyperparameter Sensitivity in Reinforcement Learning
    2024/12/10 by Jacob Adkins, Adkins, Jacob, Michael Bowling +3 · 1 voice · 3 citations
    Computer Science · #Evolutionary Algorithms and Applications #cs.AI #cs.LG
  13. Position: Benchmarking is Limited in Reinforcement Learning Research
    2024/06/23 by Scott M. Jordan, Adam White, Jordan, Scott M. +7 · 3 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME) #Open Source Software Innovations
  14. Accelerated Gradient Temporal Difference Learning
    2016/11/28 by Yangchen Pan, Pan, Yangchen, Adam White +3 · 1 citation
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Control Systems and Identification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Metaheuristic Optimization Algorithms Research #Optimal Power Flow Distribution
  15. Recurrent Linear Transformers
    2023/10/24 by Subhojeet Pramanik, Pramanik, Subhojeet, Esraa Elelimy +5 · 2 citations
    Health Professions · Computer Science · #Artificial Intelligence in Healthcare #Machine Learning in Healthcare #Data Stream Mining Techniques
  16. Optical force-induced nonlinearity and self-guiding of light in human red blood cell suspensions
    2019/02/23 by Gautam, Rekha, Xiang, Yinxiao, Lamstein, Josh +12 · 1 citation
    #FOS: Physical sciences #Optics (physics.optics)
  17. Position: Lifetime tuning is incompatible with continual reinforcement learning
    2024/04/02 by Mesbahi, Golnaz, Panahi, Parham Mohammad, Mastikhina, Olya +3 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  18. Towards a practical measure of interference for reinforcement learning
    2020/07/07 by Liu, Vincent, White, Adam, Yao, Hengshuai +1 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  19. The In-Sample Softmax for Offline Reinforcement Learning
    2023/02/28 by Chenjun Xiao, Han Wang, Xiao, Chenjun +7 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  20. Dynamical decoding of the competition between charge density waves in a kagome superconductor
    2024/03/05 by Ning, Honglie, Oh, Kyoung Hun, Su, Yifan +13 · 2 citations
    #FOS: Physical sciences #Strongly Correlated Electrons (cond-mat.str-el) #Superconductivity (cond-mat.supr-con)
  21. Measuring and Mitigating Interference in Reinforcement Learning
    2023/07/10 by Liu, Vincent, Wang, Han, Tao, Ruo Yu +3 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  22. Gradient Temporal-Difference Learning with Regularized Corrections
    2020/07/01 by Sina Ghiassian, Ghiassian, Sina, Andrew Patterson +8 · 1 citation
    Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications
  23. Investigating the Interplay of Prioritized Replay and Generalization
    2024/07/12 by Parham Mohammad Panahi, Andrew D. Patterson, Panahi, Parham Mohammad +5 · 1 citation
    Psychology · #Communication in Education and Healthcare