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  1. Deep water | Shell Global
  2. Computer Science > Machine Learning

For the unfamiliar: reinforcement learning RL is a machine learning approach for teaching agents how to solve tasks by trial and error.

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Deep RL refers to the combination of RL with deep learning. Skip to content.

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An educational resource to help anyone learn deep reinforcement learning. Branch: master New pull request.

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Launching GitHub Desktop Go back. Launching Xcode Launching Visual Studio Latest commit cf Jun 28, Nov 8, The only available source of supervision during the training process comes from our ability to distinguish among different observations belonging to the same category.

Computer Science > Machine Learning

Concrete examples include multiple images of the same object from different viewpoints, or multiple speech samples from the same speaker. In both of these instances, the factors of variation irrelevant to classification are implicitly expressed by intra-class variabilities, such as the relative position of an object in an image, or the linguistic content of an utterance. Most existing approaches for solving this problem rely heavily on having access to pairs of observations only sharing a single factor of variation, e. This assumption is often not encountered in realistic settings where data acquisition is not controlled and labels for the uninformative components are not available.