Lately, I've been looking into various testimonies from people and whistleblowers about aliens and UFOs, and I've managed to piece together a very dark and complex narrative. I would like to present i...
Widespread [pollution](https://news.mongabay.com/short-article/un-report-recommends-deep-change-theory-to-address-global-crises/) of all sorts, India-Pakistan tensions escalate, the death of a Pope, a...
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The most popular anime waifus are household names among anime fans, and these characters' personalities and character design may reveal a lot about what most anime fans look for in a waifu. These girls help set the standard for the waifu archetype, though of c…
Source code for pbrt, the renderer described in the third edition of "Physically Based Rendering: From Theory To Implementation", by Matt Pharr, Wenzel Jakob, and Greg Humphreys. (⭐ 5056)
Tremendous advances have been made in multiagent reinforcement learning (MARL). MARL corresponds to the learning problem in a multiagent system in which multiple agents learn simultaneously. It is an interdisciplinary field of study with a long history that in…
The theory of reinforcement learning provides a normative account, deeply rooted in psychological and neuroscientific perspectives on animal behaviour, of how agents may optimize their control of an environment. To use reinforcement learning successfully in si…
Advances in artificial intelligence (AI) have attracted great attention from researchers and practitioners and have opened up a broad range of beneficial opportunities for AI usage in the public sector. Against this background, there is an emerging need for a…
This book is a concise presentation of the normal distribution on the real line and its counterparts on more abstract spaces, which we shall call the Gaussian distributions. The material is selected towards presenting characteristic properties, or characteriza…
Cambridge Core - Statistical Theory and Methods - Asymptotic Statistics
Cambridge Core - Statistical Theory and Methods - Asymptotic Statistics
Whitening, or sphering, is a common preprocessing step in statistical analysis to transform random variables to orthogonality. However, due to rotational freedom there are infinitely many possible whitening procedures. Consequently, there is a diverse range of…
Machine learning addresses the question of how to build computers that improve automatically through experience. It is one of today’s most rapidly growing technical fields, lying at the intersection of computer science and statistics, and at the core of artifi…