Jeremy Sussman

Data-Driven Ranges of Near-Optimal Actions for Finite Markov Decision Processes

  • Wesley Marrero
  • Mariel S. Lavieri
  • Ambuj Tewari
  • Jeremy Sussman
  • Rodney A. Hayward
    • Categories Applications - OR and Management Sciences, Applications - Science and Engineering, Dynamic Programming Tags , , , , ,

    Markov decision process (MDP) models have been used to obtain non-stationary optimal decision rules in various applications, such as treatment planning in medical decision making. However, in practice, decision makers may prefer other strategies that are not statistically different from the optimal decision rules. To benefit from the decision makers’ expertise and provide flexibility in … Read more

    Interpretable Policies and the Price of Interpretability in Hypertension Treatment Planning

  • Gian-Gabriel Garcia
  • Wesley Marrero
  • Lauren Steimle
  • Jeremy Sussman
    • Categories Applications - OR and Management Sciences, Applications - Science and Engineering, Dynamic Programming Tags , , , , ,

    Problem definition: Effective hypertension management is critical to reducing consequences of atherosclerotic cardiovascular disease, a leading cause of death in the United States. Clinical guidelines for hypertension can be enhanced using decision-analytic approaches, capable of capturing many complexities in treatment planning. However, model-generated recommendations may be uninterpretable/unintuitive, limiting their acceptability in practice. We address this … Read more