Distributed dynamic pricing of multiple perishable products using multi-agent reinforcement learning

Wenchuan Qiao, Min Huang, Zheming Gao, Xingwei Wang

Abstract: Highlights•Propose a distributed pricing framework for multi-perishable products.•Model multi-product dynamic pricing problem as a Fully Cooperative Markov Game.•Design agent-specific reward functions to tackle the credit assignment problem.•Propose two efficient and effective distributed dynamic pricing algorithms.