As a result, remote control technologies are being widely adopted across various sectors. Among the many components used in ...
In this tutorial, we implement a Colab-ready version of the AutoResearch framework originally proposed by Andrej Karpathy. We build an automated experimentation pipeline that clones the AutoResearch ...
Abstract: Presents a tutorial on phase-locked loops from a control systems perspective. It starts with an introduction of the loop as a feedback control problem, with both the similarities and ...
In this tutorial, we build a human-in-the-loop travel booking agent that treats the user as a teammate rather than a passive observer. We design the system so the agent first reasons openly by ...
Abstract: The paper describes the closing of the loop for an analogue capacitive micro-accelerometer. The accelerometer is mathematical modeled, the mathematical relation being expressed both in ...
[Notice] This list is not being maintained anymore because of the overwhelming amount of deep learning papers published every day since 2017. A curated list of the most cited deep learning papers ...
This tutorial walks you through setting up Kubernetes the hard way. This guide is not for someone looking for a fully automated tool to bring up a Kubernetes cluster. Kubernetes The Hard Way is ...
I'm a professor in the Machine Learning Department at Carnegie Mellon. I am also affiliated with the Robotics Institute. I'm interested in multi-agent planning, reinforcement learning, ...
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