In this tutorial we discuss several recent advances in deep reinforcement learning involving policy gradient methods. These methods have shown significant success in a wide range of domains, including ...

The Bayesian method is the natural approach to inference, yet it is hidden from readers behind chapters of slow, mathematical analysis. The typical text on Bayesian inference involves two to three ...

🌟 I’m pleased to share a new Methods Tutorial co-authored with Hao Tran and Peter Crosthwaite in Research Methods in Applied Linguistics (RMAL). It’s part of a special edition, titled, "Research ...

“Monte Carlo” methods use random sampling to understand a system, estimate averages, or compute integrals. Monte Carlo methods were amongst the earliest applications run on electronic computers in the ...

Single-cell RNA sequencing is at the forefront of high-resolution phenotyping experiments for complex samples. Although this methodology requires specialized equipment and expertise, it is now widely ...

This is a library of Javascript Array methods that tries to recreate the basic functionality of the Array iteration methods in javascript. My array methods are not polyfills for the real methods.

A new offering from SFI’s online education resource, Complexity Explorer, gives complexity enthusiasts quantitative tools for distinguishing the "complex" aspects of a system from the merely ...

Abstract: The visual sensing system is one of the most important parts of the welding robots to realize intelligent and autonomous welding. The active visual sensing methods have been widely adopted ...