IEEE

Using Large Language Models to Automate and Expedite Reinforcement Learning with Reward Machine

Abstract: We present LARL-RM (Large language model-generated Automaton for Reinforcement Learning with Reward Machine) algorithm to encode high-level knowledge into reinforcement learning using ...
INSIDENOVA.COM

What is AI automation? Key benefits and use cases

In this article, Quiq explores what AI automation means, how it differs from traditional automation, how it works behind the scenes, and how companies are putting it into practice. You’ll also learn ...
GitHub

Stealth browser automation that actually works. A Docker container running Camoufox (custom Firefox) with zero Chrome DevTools Protocol exposure, real OS-level mouse and ...

Passes Cloudflare, CreepJS, BrowserScan, Pixelscan, and every other bot detector we've thrown at it. While Chromium-based tools are getting caught by the first line of defense, this thing walks ...
GitHub

A multi-binding mouse and keyboard automation tool for Windows. Auto-clicker, auto-hold, keyboard macros, mouse movement patterns, all triggered by global hotkeys and organized ...

Built with Python, ttkbootstrap, and pynput. Profile system for organizing bindings into named groups. Switch between profiles on the fly; each profile maintains its own set of bindings independently.
IEEE

On-chip Network Optimization using U-mesh Algorithm

Abstract: This work presents an approach to optimize the network and reduce the congestion within a chip. It involves using NVIDIA Simba architecture as reference for Processing Element (PE).