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  1. Prikvačeni tweet
    12. stu 2018.
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  2. proslijedio/la je Tweet
    1. velj

    To the left, you see a trained agent playing a level of a game. To the right, you see the same playthrough from an agent-centric perspective: cropped, translated, and rotated with the agent in the center. Which perspective is the best input for the agent?

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  3. proslijedio/la je Tweet
    28. sij

    What if we see level generation as a game, where each action changes the level in some way? Well, we could use RL to learn to "play" level generation! We introduce Procedural Content Generation via Reinforcement Learning (PCGRL), a new paradigm for PCG.

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  4. proslijedio/la je Tweet
    24. sij
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  5. 25. sij

    This happens when I can't sleep! The interesting part is that my agents have never seen a ragdoll before, trained on Spheres but they perform well on ragdolls as well.

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  6. proslijedio/la je Tweet
    23. sij

    "it seems that [solutions] have not just learned to deal with the complex environment - but advanced a step ahead, and are able to deal with sensory hallucinations" Bug found by in Gym. this may explain why it was so hard to solve.

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  7. 21. sij
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  8. proslijedio/la je Tweet
    13. sij

    Happy our new paper "Revealing Neural Network Bias to Non-Experts Through Interactive Counterfactual Examples" w/ , , , , and is now on arXiv:

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  9. proslijedio/la je Tweet
    12. sij

    The government took the plane down "by accident". Maybe the people should take the government down on purpose.

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  10. proslijedio/la je Tweet
    11. sij

    On the Relationship between Self-Attention and Convolutional Layers This work shows that attention layers can perform convolution and that they often learn to do so in practice. They also prove that a self-attention layer is as expressive as a conv layer.

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  11. proslijedio/la je Tweet
    9. sij

    Join us in Copenhagen this June and learn about the latest advancements in AI and Games from and myself, and industry partners including and ...and more to come. The early registration is now open!

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  12. proslijedio/la je Tweet
    8. sij

    Studying or teaching Complex Analysis? This online book might be useful. ⭐️Complex Analysis: A Visual and Interactive Introduction⭐️ 🔗 Thanks everyone for your suggestions and reporting issues to improve this project.

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  13. proslijedio/la je Tweet
    7. sij

    Introducing Deep Innovation Protection - we scale neuroevolution to more complex tasks such as "VizDoom: Take Cover" by temporally reducing the selection pressure on specific components in an evolving world model. w/

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  14. proslijedio/la je Tweet
    7. sij

    Neural networks tend to Gaussian processes (GPs) as their widths tend to infinity --- now you can play with these GP kernels in ! Try out RNN-GP, GRU-GP, Transformer-GP, or Batchnorm-GP today! Repo: Colab Entry Point:

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  15. proslijedio/la je Tweet
    5. sij

    "You are being very foolish. ... At your age you cannot waste your time. We will never understand the phenomena of development and regeneration." - T. H. Morgan, in a story recounted by N. J. Berril

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  16. 4. sij
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  17. 4. sij
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  18. 2. sij

    Lord of The Rings ...

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  19. proslijedio/la je Tweet
    2. sij

    To count an animal population if you can't catch them all: capture some, mark them, release, and capture again. The ratio of new vs already seen tells you something about the total number. Shown here is iterated mark-and-recapture with a Bayesian updates to belief about pop size

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  20. 1. sij
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  21. 1. sij

    Playing with Unity's Havok Physics!

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