Abstract: The Airline Scheduling Problem (ASP) has significant economic and operational value in air trans portation management. However, its complexity and dynamics make traditional mixed integer ...

This project implements the research paper "Reinforcement Learning for Risk-Aware Portfolio Optimization: A Comparative Study of PPO, QR-DDPG, DDPG, and SAC under Market Uncertainty".

ABSTRACT: This work presents a new method to improve the security of Internet of Things (IoT) networks using a model combining an autoencoder LSTM (AE-LSTM) and a centralized multi-agent reinforcement ...