Rezultati pretraživanja
  1. 6. sij

    Despite Deep 's popularity, there are precious few good intro tutorials! This is a really nice one. It combines: - toy implementation - math concepts - intuitive explanations

  2. prije 1 sat

    LLNL computer scientists explore deep learning to improve efficiency of ride-hailing and autonomous electric vehicles

  3. 4. pro 2019.

    We have today released SafeLife – a reinforcement learning environment that tests the safety of reinforcement learning agents and the algorithms that train them. SafeLife explores the side effects of in complex environments:

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  4. 22. sij

    The Autonomous Learning Library is a deep reinforcement learning (DRL) library for PyTorch that streamlines the building and evaluation of novel reinforcement learning agents.

  5. 2. velj

    Play against my first home made game agent () I built using + + + ! Genuinely amazed that it seems to work 😅 Big thanks my teachers , , , and 👏👏👏

  6. 20. sij
    deep learning video thumbnails
  7. 19. stu 2019.

    RecSim is an open-source configurable platform for authoring simulation environments tailored to the study of algorithms in recommender systems, enabling rapid testing & model refinement in a controlled environment. Learn more below:

  8. prije 1 sat

    Temporal Difference Learning - Reinforcement Learning Chapter 6

  9. 18. sij
  10. prije 3 sata

    Reinforcement Learning Course - Full Machine Learning Tutorial

  11. prije 5 sati
  12. prije 7 sati

    TF-Agents: A Flexible Reinforcement Learning Library for TensorFlow (Google I/O'19)

  13. prije 9 sati

    An algorithm that learns through rewards may show how our brain does too

  14. Reinforcement Learning for Stock Prediction

  15. prije 15 sati
  16. The second paper is submitted. The goal was to submit one paper a month in 2020, but 3 came out in January❤️

  17. Deep Q-Learning - Combining Neural Networks and Reinforcement Learning

  18. prije 17 sati
  19. prije 20 sati

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