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Andrychowicz, Marcin

  1. Learning to learn by gradient descent by gradient descent
    2016/06/14 by Marcin Andrychowicz, Andrychowicz, Marcin, Misha Denil +14 · 6 voices · 50 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Human Pose and Action Recognition #cs.LG #cs.NE
  2. Hindsight Experience Replay
    2017/07/05 by Marcin Andrychowicz, Filip Wolski, Andrychowicz, Marcin +17 · 120 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics #Robotics (cs.RO)
  3. Solving Rubik's Cube with a Robot Hand
    2019/10/16 by OpenAI, Ilge Akkaya, Marcin Andrychowicz +34 · 82 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #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) #Reinforcement Learning in Robotics #Robotics (cs.RO)
  4. Learning Dexterous In-Hand Manipulation
    2018/08/01 by OpenAI, Andrychowicz, Marcin, Baker, Bowen +14 · 52 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Robotics (cs.RO)
  5. Asymmetric Actor Critic for Image-Based Robot Learning
    2017/10/18 by Pinto, Lerrel, Andrychowicz, Marcin, Welinder, Peter +2 · 38 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  6. Multi-Goal Reinforcement Learning: Challenging Robotics Environments and\n Request for Research
    2018/02/26 by Matthias Plappert, Plappert, Matthias, Marcin Andrychowicz +22 · 36 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robotics (cs.RO)
  7. Parameter Space Noise for Exploration
    2017/06/06 by Matthias Plappert, Rein Houthooft, Plappert, Matthias +15 · 45 citations
    Computer Science · Economics, Econometrics and Finance · #Reinforcement Learning in Robotics #Evolutionary Algorithms and Applications #Sports Analytics and Performance
  8. Overcoming Exploration in Reinforcement Learning with Demonstrations
    2017/09/28 by Nair, Ashvin, McGrew, Bob, Andrychowicz, Marcin +2 · 19 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Robotics (cs.RO)
  9. One-Shot Imitation Learning
    2017/03/21 by Yan Duan, Duan, Yan, Marcin Andrychowicz +13 · 22 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. Deep Learning for Day Forecasts from Sparse Observations
    2023/06/06 by Marcin Andrychowicz, Andrychowicz, Marcin, Lasse Espeholt +13 · 14 citations
    Earth and Planetary Sciences · Environmental Science · #Meteorological Phenomena and Simulations #Precipitation Measurement and Analysis #Climate variability and models
  11. What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study
    2020/06/10 by Andrychowicz, Marcin, Raichuk, Anton, Stańczyk, Piotr +9 · 6 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  12. Domain Randomization and Generative Models for Robotic Grasping
    2017/10/17 by Tobin, Joshua, Biewald, Lukas, Duan, Rocky +8 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  13. Neural Random-Access Machines
    2015/11/19 by Kurach, Karol, Andrychowicz, Marcin, Sutskever, Ilya · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  14. What Matters for Adversarial Imitation Learning?
    2021/06/01 by Orsini, Manu, Raichuk, Anton, Hussenot, Léonard +7 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  15. Learning Efficient Algorithms with Hierarchical Attentive Memory
    2016/02/09 by Andrychowicz, Marcin, Kurach, Karol · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  16. Continuous Control With Ensemble Deep Deterministic Policy Gradients
    2021/11/30 by Piotr Januszewski, Januszewski, Piotr, Mateusz Olko +11 · 1 citation
    Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Reinforcement Learning in Robotics