A Hybrid Machine Learning and Reinforcement Learning Framework for Adaptive Inventory Control
To accomplish better inventory management, a hybrid framework was created, which integrates Machine Learning (ML) and Reinforcement Learning (RL). A Temporal Fusion Transformer (TFT), trained using two years of retail data which included sales, pricing, promotions, weather conditions, and seasonal variations across var...