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Articole: 10
  1. Back pressure for agents You might notice a pattern in the most successful applications of agents over the last year.

  2. Debugging some GANs

    Introduction Recently I’ve been motivated to investigate generative models, of which the most popular is currently GANs.

  3. Introduction Orderbooks are tables that show the immediate and public supply and demand of instruments that trade on financial exchanges.

  4. Introduction In this article we’ll review Q-learning and walk through a subtle improvement that leads to Double Q-learning and better policies.

  5. Introduction Recently I came across the need for an easy UI to display information coming from a websocket.

  6. Introduction A few months ago I read this paper from DeepMind that addressed a simple choice of architecture to encourage sensible weights in neural networks when solving problems that at the core are simple arithmetic.

  7. Introduction In this article we will explain the minimax algorithm.

  8. Introduction In this post we’ll go over auto-regressive time series.

  9. Introduction One of the most important steps in developing a model for machine learning is tuning hyperparameters to ensure it generalises to unseen data.

  10. Introduction In this post we’ll look at the problem of keyword matching including a number of approaches, applications and the Aho-Corasick algorithm.