Look-Ahead Reasoning on Learning Platforms

Predictive models are often designed to minimize risk for the learner, yet their objectives do not always align with the interests of the users they affect. Thus, as a way to contest predictive systems, users might act strategically in order to achieve favorable outcomes. While past work has studied strategic user behavior on learning platforms, the focus has largely been on strategic responses to the deployed model, without considering the behavior of other users, or implications thereof for the deployed model. In contrast, *look-ahead reasoning* takes into account that user actions are coupled, and