Deep Reinforcement Learning for Solving Management Problems: Towards A Large Management Mode

arXiv:2403.00318v1 Announce Type: cross
Abstract: We introduce a deep reinforcement learning (DRL) approach for solving management problems including inventory management, dynamic pricing, and recommendation. This DRL approach has the potential to lead to a large management model based on certain transformer neural network structures, resulting in an artificial general intelligence paradigm for various management tasks. Traditional methods have limitations for solving complex real-world problems, and we demonstrate how DRL can surpass existing heuristic approaches for solving management tasks. We aim …

abstract artificial arxiv cs.ai cs.lg dynamic dynamic pricing inventory management network neural network pricing recommendation reinforcement reinforcement learning transformer type