论文标题
安全探索有效的政策评估和比较
Safe Exploration for Efficient Policy Evaluation and Comparison
论文作者
论文摘要
高质量数据在确保政策评估的准确性方面起着核心作用。本文启动了针对强盗政策评估的高效和安全数据收集的研究。我们提出问题并研究其几种代表性变体。对于每个变体，我们分析其统计属性，得出相应的探索策略，并设计用于计算它的有效算法。理论分析和实验都支持所提出方法的有用性。
High-quality data plays a central role in ensuring the accuracy of policy evaluation. This paper initiates the study of efficient and safe data collection for bandit policy evaluation. We formulate the problem and investigate its several representative variants. For each variant, we analyze its statistical properties, derive the corresponding exploration policy, and design an efficient algorithm for computing it. Both theoretical analysis and experiments support the usefulness of the proposed methods.
