IEEE

Multi-Agent Deep Reinforcement Learning for Dynamic Routing in MANETs Using Graph Neural Networks

Abstract: Mobile Ad Hoc Networks (MANETs) consist of decentralized wireless networks with dynamic topologies and frequent link failures which make achieving efficient routing extremely difficult.
GitHub

A minimal, secure Python interpreter written in Rust for use by AI.

Experimental - This project is still in development, and not ready for the prime time. A minimal, secure Python interpreter written in Rust for use by AI. Monty avoids the cost, latency, complexity ...
IEEE

Energy-Efficient Routing Protocol in Vehicular Opportunistic Networks: A Dynamic Cluster-Based Routing Using Deep Reinforcement Learning

Abstract: Opportunistic Networks (OppNets) employ the Store-Carry-Forward (SCF) paradigm to maintain communication during intermittent connectivity. However, routing performance suffers due to dynamic ...
GitHub

Supercharge G-code with Python

Gscrib is a powerful Python library for generating G-code for CNC machines, 3D printers, and other automated devices. It provides a comprehensive set of tools for creating, transforming, and ...