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Q-learning is a model-free reinforcement learning algorithm that teaches an agent to assign values to each action it might take, conditioned on the agent being in a particular state. It does not require a model of the environment (hence "model-free"), and it can handle problems with stochastic transitions and rewards without requiring adaptations.
Microsoft PowerPoint and Google Slides are effective tools to develop slides, both Google Slides and Microsoft PowerPoint allows groups to work together online to update each account as it is edited. Content such as text, images, links, and effects are added into each of the presentation programs to deliver useful, consolidated information to a ...
This page includes a collection of links to presentations, lectures and speeches about Wikipedia. Most of them are licensed under the GFDL so you can create another one based on these ones. For presentations in other languages, see the interlanguage links .
Google Slides is a presentation program and part of the free, web-based Google Docs suite offered by Google. Google Slides is available as a web application, mobile app for: Android, iOS, and as a desktop application on Google's ChromeOS. The app is compatible with Microsoft PowerPoint file formats. [5]
Rapid learning (or Rapid eLearning Development) has traditionally referred to a methodology to build e-learning courses rapidly. [1] Typically the author will create slides in PowerPoint, record audio and video narration on top of the slides, and then use software to add tests, or even collaboration activities between the slides.
SlideWikis future development has been established with the beginning of the year 2016 as an EU funded project. It was reengineered on a new technology stack and released on the official SlideWiki.org platform in 2017. 17 partner institutes from all over Europe and also South America cooperate in order to improve SlideWiki and implement many new features and enhance the user experience in ...
In this case, the learning-to-rank problem is approximated by a classification problem — learning a binary classifier (,) that can tell which document is better in a given pair of documents. The classifier shall take two documents as its input and the goal is to minimize a loss function L ( h ; x u , x v , y u , v ) {\displaystyle L(h;x_{u},x ...
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