k_f

18 ms·

1. 1.▲
   DeepMind: Force fields outperform quantum chemistry tools for catalysts(twitter.com)

   3 points by k_f 4y ago|0 comments
2. 2.▲
   by k_f 7y ago

   A (weak) stationary distribution has no trend, no seasonality, and no changes in variance. With these properties, predictions are independent of the absolute point in time. The transformations to turn non-stationary series into stationary o
3. 3.▲
   by k_f 8y ago

   Our IMPALA also currently only supports discrete action spaces because we wanted to exactly replicate Deepmind's implementation for benchmarking. In your case I'd suggest looking into our SAC implementation, which learned typical
4. 4.▲
   RLgraph: Robust, incrementally testable reinforcement learning(rlgraph.github.io)

   61 points by k_f 8y ago|6 comments
5. 5.▲
   RLgraph: Robust, incrementally testable reinforcement learning(rlgraph.github.io)

   7 points by k_f 8y ago|0 comments
6. 6.▲
   Ask HN: How to protect ML models/Python code when deploying B2B

   3 points by k_f 8y ago|2 comments
7. 7.▲
   by k_f 9y ago

   For anyone wondering where that weird 1.27059 factor comes from: Amazon takes 15% commission (+ a fixed commission fee) for book sales. 1.27059 * 0.85 = 1.08(00015), so (practically) exactly 8% price difference (or possible profit margin).
8. 8.▲
   by k_f 9y ago

   Actually, MM in Roman numerals is 2,000, not a million.
9. 9.▲
   by k_f 9y ago

   Am I the only one triggered by the fact that they used blue USB 2.0 ports?
10. 10.▲
    by k_f 9y ago

    Thanks for your kind words and thanks for your suggestion. I agree it's sensible to provide information on how to connect your problem space to our library. We have some more blogposts on the roadmap and might add that one as well (we
11. 11.▲
    by k_f 9y ago

    At least in terms of integration, TensorForce aims to be a "plug and play" library. However, RL is not at a stage right now where you can just plug an algorithm to any kind of problem and expect it to learn. Hyperparameter tuning
12. 12.▲
    TensorForce 0.3: End-to-end computation graphs for reinforcement learning(reinforce.io)

    109 points by k_f 9y ago|4 comments
13. 13.▲
    by k_f 9y ago

    I actually implemented pretty much the same layout (custom kernel, A/B partitions, but one each for the OS and the player software) for a similar use case (background music player). We used AUFS for partition layering. In particular, o
14. 14.▲
    by k_f 9y ago

    Thanks again for the elaborate answer. It sounds like a great product with solid tech. I'll definitely be looking into it!
15. 15.▲
    by k_f 9y ago

    Thanks, that looks promising! Do you use it yourself, or just happen to know about it?
16. 16.▲
    Ask HN: Is there a good tool for container resource monitoring?

    5 points by k_f 9y ago|5 comments
17. 17.▲
    TensorForce: A TensorFlow library for applied reinforcement learning(reinforce.io)

    136 points by k_f 9y ago|8 comments
18. 18.▲
    Show HN: TensorForce: A TensorFlow library for applied reinforcement learning(reinforce.io)

    7 points by k_f 9y ago|0 comments