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October 13, 2025Open Access

Parameter-Adaptive Dynamic Pricing

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Authors

XGXueping GongJZJi‐Heng Zhang

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Overview

This approach introduces a parameter-adaptive method for dynamic pricing, enhancing flexibility and reducing regret in unknown demand scenarios.

Key Points

  • The Parameter-Adaptive Dynamic Pricing algorithm improves regret bounds compared to existing methods, enhancing demand management.
  • Numerical experiments demonstrate how effectively the algorithm handles unknown demand parameters, validating its practical utility.
  • The adaptive method utilizes a linear bandit structure to manage regret efficiently while partitioning the demand function’s domain.
  • This study highlights the flexibility of the algorithm by allowing for extensions involving contextual information for dynamic pricing.

Cite This Study

Gong et al. (2025) studied this question.

synapsesocial.com/papers/68ece2abd1bb2827d129711fhttps://doi.org/10.48550/arxiv.2503.00929
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Also Consider

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  3. 3Dynamic Contextual Pricing with Doubly Non-Parametric Random Utility Models2024
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