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Houghton, Brandon

  1. GPT-4 Technical Report
    2023/03/15 by OpenAI, Josh Achiam, Steven Adler +556 · 6 voices · 3677 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #cs.AI #cs.CL
  2. Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos
    2022/06/23 by Bowen Baker, Baker, Bowen, Ilge Akkaya +16 · 1 voice · 55 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Reinforcement Learning in Robotics #cs.AI #cs.LG
  3. OpenAI o1 System Card
    2024/12/21 by OpenAI, :, Aaron Jaech +347 · 726 citations
    Computer Science · #Advanced Computational Techniques and Applications
  4. MineRL: A Large-Scale Dataset of Minecraft Demonstrations
    2019/07/29 by William H. Guss, Guss, William H., Brandon Houghton +11 · 33 citations
    Computer Science · Engineering · #Reinforcement Learning in Robotics #Adversarial Robustness in Machine Learning #Robot Manipulation and Learning
  5. Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft
    2021/06/28 by Kanitscheider, Ingmar, Huizinga, Joost, Farhi, David +9 · 4 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  6. The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors
    2021/01/26 by William H. Guss, Guss, William H., Castro, Mario Ynocente +19 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  7. The MineRL 2019 Competition on Sample Efficient Reinforcement Learning using Human Priors
    2019/04/22 by Guss, William H., Codel, Cayden, Hofmann, Katja +9 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  8. Retrospective Analysis of the 2019 MineRL Competition on Sample Efficient Reinforcement Learning
    2020/03/10 by Stephanie Milani, Nicholay Topin, Milani, Stephanie +13 · 2 citations
    Computer Science · Engineering · #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Machine Learning and Data Classification