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20242026
most citedDual-Agent Deep Reinforcement Learning for Dynamic Pricing and Replenishment

1 citations · 1 across the 6 of their papers we have counts for

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stat.ML2024

Beyond likelihood ratio bias: Nested multi-time-scale stochastic approximation for likelihood-free parameter estimation

Zehao Li, Zhouchen Lin, Yijie Peng

We study parameter inference in simulation-based stochastic models where the analytical form of the likelihood is unknown. The main difficulty is that score evaluation as a ratio o…

cs.LG2024★ 1 cited

Dual-Agent Deep Reinforcement Learning for Dynamic Pricing and Replenishment

Yi Zheng, Zehao Li, Peng Jiang +1

We study the dynamic pricing and replenishment problems under inconsistent decision frequencies. Different from the traditional demand assumption, the discreteness of demand and th…