Abstract: Deep Reinforcement Learning (DRL) approaches with Attention Mechanism have shown efficiency and effectiveness for combinatorial optimization problem, such as routing problem for autonomous ...
Abstract: Traditional routing techniques face considerable challenges in large-scale Low Earth Orbit (LEO) satellite networks for Internet of Things (IoT) data backhaul, such as slow convergence speed ...
Classifies user intent (weather vs document queries) Fetches real-time weather data via OpenWeatherMap API Performs semantic search and Q&A on uploaded PDF documents using RAG Maintains conversation ...
dynamic-moe-router-kit implements adaptive expert routing for Mixture-of-Experts (MoE) models, dynamically selecting the optimal number of experts per token based on input complexity. Based on the ...