Deep reinforcement learning for inventory control: A roadmap

Robert N. Boute, Joren Gijsbrechts, Willem van Jaarsveld, Nathalie Vanvuchelen

Abstract: Highlights•Roadmap on how inventory control may benefit from deep reinforcement learning.•We describe the key design choices of learning algorithms for inventory applications.•We shed light on future research avenues for applications in inventory control.•Our roadmap may also spur future research in other domains within operations.