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Dynamic pricing and reinforcement learning

https://doi.org/10.1109/ijcnn.2003.1224034

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1109/9.580874openalex-snapshot

An analysis of temporal-difference learning with function approximation

inferredcites →https://doi.org/10.1287/mksc.15.3.207openalex-snapshot

Pricing Decisions Under Demand Uncertainty: A Bayesian Mixture Model Approach

inferredcites →https://doi.org/10.1287/mnsc.1050.0393openalex-snapshot

A Partially Observed Markov Decision Process for Dynamic Pricing

inferredcites →https://doi.org/10.2307/2233664openalex-snapshot

Actively Learning About Demand and the Dynamics of Price Adjustment

inferredcites →https://doi.org/10.2307/2583225openalex-snapshot

Forecasting, Structural Time Series Models and the Kalman Filter

inferredcites →https://doi.org/10.7551/mitpress/3917.003.0017openalex-snapshot

Reinforcement Learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4669776openalex-extracted

Deep Q-Learning for Multi-Flight Dynamic Pricing: Maximizing Revenue with a Novel Utility Function in Airline Revenue Management

inferred← citeshttps://doi.org/10.1002/9781118309858.biblioopenalex-snapshot

Bibliography

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Dynamic Pricing and Automated Resource Allocation for Complex Information Services: Reinforcement Learning and Combinatorial Auctions

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A Dynamic Pricing Approach in E-Commerce Based on Multiple Purchase Attributes

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Dynamic pricing models for electronic business

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Learning dynamic prices in electronic retail markets with customer segmentation

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Real-time dynamic pricing in a non-stationary environment using model-free reinforcement learning

inferred← citeshttps://doi.org/10.1109/access.2021.3087577openalex-snapshot

Multi-Step Look-Ahead Optimization Methods for Dynamic Pricing With Demand Learning

inferred← citeshttps://doi.org/10.1109/gcc.2008.110openalex-snapshot

Pricing Strategies in Grid Market: Simulation and Analysis

inferred← citeshttps://doi.org/10.1109/iccmst54943.2021.00056openalex-snapshot

Reinforcement Learning on the Credit Risk-Based Pricing

inferred← citeshttps://doi.org/10.1109/tsmcc.2005.860578openalex-snapshot

Learning dynamic prices in MultiSeller electronic retail markets with price sensitive customers, stochastic demands, and inventory replenishments

inferred← citeshttps://doi.org/10.12677/ecl.2019.81004openalex-snapshot

Multi-Stage Dynamic Discount and Inventory Optimization Model Based on Demand Learning: Taking Garment Sales as an Example

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Models of the Spiral-Down Effect in Revenue Management

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A Cloud Native Framework for Real-time Pricing in e-Commerce

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A dynamic personalised product pricing strategy using multiple attributes in agent mediated e-market - a neural approach

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Survey on the Application of Economic and Market Theory for Grid Computing

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Intelligence Integration in Distributed Knowledge Management

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