SNPL: Simultaneous Policy Learning and Evaluation for Safe Multi-Objective Policy Improvement
SNPL:面向安全多目标改进的同步策略学习与评估
To design effective digital interventions, experimenters face the challenge of learning decision policies that balance multiple objectives using offline data. Often, they aim to develop policies that maximize goal outcomes, while ensuring there are no undesirable changes in guardrail outcomes. To provide credible recommendations, experimenters must not only identify policies that satisfy the desired changes in goal and guardrail outcomes, but also offer probabilistic…