A Multimodal Deep Reinforcement Learning Framework for Dynamic Pricing Optimisation in E-Commerce

With the rapid expansion of e-commerce platforms, there is an increasing demand for pricing strategies that jointly optimise sales performance and profitability under highly competitive markets. To address this challenge, we propose a unified deep reinforcement learning (DRL) framework built upon It...

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Бібліографічні деталі
Автори:	Yuchen Liu, Tianxiang Cui, Gangmin Li, Terry R. Payne, Yong Yue, Ka Lok Man
Формат:	Artigo
Мова:	Inglês
Опубліковано:	IEEE 2026-01-01
Серія:	IEEE Access
Предмети:	E-commerce pricing deep reinforcement learning multimodal model dynamic pricing
Онлайн доступ:	https://ieeexplore.ieee.org/document/11471750/
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A Multimodal Deep Reinforcement Learning Framework for Dynamic Pricing Optimisation in E-Commerce

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