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Table of Contents
1. Introduction
2. Problem Setting
3. Clairvoyant Policy and Performance Metric
4. Feature Manipulation
5. Pricing Policies
6. Performance Evaluation
7. Conclusion
Summary
The paper explores contextual dynamic pricing with strategic buyers, focusing on personalized pricing policies and buyer manipulation. The authors propose a strategic dynamic pricing policy to maximize revenue by incorporating buyers' strategic behaviors. They analyze the regret bounds of the proposed policy and conduct experiments to validate its performance. The study provides insights into dynamic pricing in the presence of feature manipulation and contributes to understanding market dynamics.