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Yan Duan

  1. RL2: Fast Reinforcement Learning via Slow Reinforcement Learning
    2016/11/09 by Yan Duan, John Schulman, Duan, Yan +9 · 1 voice · 89 citations
    Computer Science · #Reinforcement Learning in Robotics #Optimization and Search Problems #Advanced Neural Network Applications
  2. Variational Lossy Autoencoder
    2016/11/08 by Xi Chen, Diederik P. Kingma, Chen, Xi +13 · 1 voice · 54 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Domain Adaptation and Few-Shot Learning #Human Pose and Action Recognition
  3. InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
    2016/06/11 by Xi Chen, Yan Duan, Chen, Xi +9 · 43 citations
    Computer Science · #Advanced Image Processing Techniques #FOS: Computer and information sciences #Face recognition and analysis #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  4. #Exploration: A Study of Count-Based Exploration for Deep Reinforcement\n Learning
    2016/11/15 by Haoran Tang, Tang, Haoran, Rein Houthooft +15 · 34 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Autonomous Vehicle Technology and Safety #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Reinforcement Learning in Robotics
  5. Benchmarking Deep Reinforcement Learning for Continuous Control
    2016/04/22 by Yan Duan, Duan, Yan, Xi Chen +7 · 28 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robotics (cs.RO)
  6. Adversarial Attacks on Neural Network Policies
    2017/02/08 by Sandy H. Huang, Huang, Sandy, Nicolas Papernot +7 · 25 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  7. Evaluating Protein Transfer Learning with TAPE
    2019/06/19 by Roshan Rao, Rao, Roshan, Nicholas Bhattacharya +13 · 28 citations
    Biochemistry, Genetics and Molecular Biology · #Machine Learning in Bioinformatics #RNA and protein synthesis mechanisms #Protein Structure and Dynamics
  8. Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design
    2019/02/01 by Jonathan Ho, Ho, Jonathan, Xi Chen +7 · 21 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Neural Network Applications #Cell Image Analysis Techniques #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
  9. One-Shot Imitation Learning
    2017/03/21 by Yan Duan, Marcin Andrychowicz, Duan, Yan +13 · 24 citations
    Computer Science · Engineering · #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) #Robot Manipulation and Learning #Robotics (cs.RO)
  10. Model-Ensemble Trust-Region Policy Optimization
    2018/02/28 by Thanard Kurutach, Kurutach, Thanard, Ignasi Clavera +7 · 22 citations
    Computer Science · Engineering · #Reinforcement Learning in Robotics #Adversarial Robustness in Machine Learning #Fuel Cells and Related Materials
  11. NeuroCard: One Cardinality Estimator for All Tables
    2020/06/15 by Zongheng Yang, Yang, Zongheng, Amog Kamsetty +11 · 7 citations
    Computer Science · #Advanced Database Systems and Queries #Data Management and Algorithms #Data Visualization and Analytics #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  12. Some Considerations on Learning to Explore via Meta-Reinforcement Learning
    2018/03/03 by Bradly C. Stadie, Ge Yang, Stadie, Bradly C. +13 · 4 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Reinforcement Learning in Robotics #Robot Manipulation and Learning
  13. N, P and straw return influence the accrual of organic carbon fractions and microbial traits in a Mollisol
    2021/08/09 by Yan Duan, Lin Chen, Yumei Li +5 · 6 citations
    Agricultural and Biological Sciences · Environmental Science · #Soil Carbon and Nitrogen Dynamics #Soil and Water Nutrient Dynamics #Microbial Community Ecology and Physiology
  14. Optimal coupling of HoW10 molecular magnets to superconducting circuits near spin clock transitions
    2019/11/18 by Ignacio Gimeno, Víctor Rollano, Gimeno, Ignacio +25 · 1 citation
    Physics and Astronomy · Chemistry · #Atomic and Subatomic Physics Research #Advanced NMR Techniques and Applications #Quantum optics and atomic interactions
  15. The JCMT BISTRO Survey: The Magnetic Fields of the IC 348 Star-forming Region
    2024/11/04 by Youngwoo Choi, Choi, Youngwoo, Woojin Kwon +247 · 1 citation
    Physics and Astronomy · #Astro and Planetary Science #Astrophysics of Galaxies (astro-ph.GA) #FOS: Physical sciences #Solar and Space Plasma Dynamics #Stellar, planetary, and galactic studies