Dynamic Pricing for Multi-Products in E-Retailing

In this paper, we investigate the use of Q-learning approach to the problem of determining dynamic prices for multi-products in an e-retailing setting. In particularly, this article is concerned with the representation and generalization of large state spaces in Q-learning problems. We proposed a Q-learning model that is based on the self-organizing map, and validate our approach in simulated test.