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danijar

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  1. DeepMind's Dreamer 4: Training Agents Inside of Scalable World Models (danijar.com)
    1 points 0
  2. Mastering diverse control tasks through world models (nature.com)
    3 points 0
  3. Learning to Walk in the Real World in 1 Hour (youtube.com)
    1 points 0
  4. Robot dog just taught itself to walk (technologyreview.com)
    11 points 0
  5. DayDreamer: World Models for Physical Robot Learning (danijar.com)
    5 points 0
  6. PlaNet: A Deep Planning Network for Reinforcement Learning (ai.googleblog.com)
    42 points 3
  7. Patterns for Fast Prototyping with TensorFlow (danijar.com)
    1 points 0
  8. Reliable Uncertainty Estimates in Neural Networks Using Noise Contrastive Priors (arxiv.org)
    4 points 0
  9. Why Mean Squared Error? (danijar.com)
    37 points 9
  10. Building Variational Auto-Encoders in TensorFlow (danijar.com)
    3 points 0
  11. Layer Norm and GRU for State of the Art Language Modeling (danijar.com)
    13 points 0
  12. Benchmarking Recurrent Networks for Language Modeling (danijar.com)
    2 points 0
  13. Confession of a so-called AI expert (huyenchip.com)
    6 points 0
  14. Tips for Training Recurrent Neural Networks (danijar.com)
    8 points 0
  15. Show HN: Mindpark - Playing Video Games with Deep Learning in Python (github.com)
    24 points 2
  16. Show HN: Introduction to Recurrent Networks in TensorFlow (danijar.github.io)
    6 points 0
  17. Show HN: Layered – Neural Networks in Python 3 (github.com)
    56 points 5