content in reversed chronological order.


  1. Nonparametric Additive Value Functions: Interpretable Reinforcement Learning with an Application to Surgical Recovery
    Patrick Emedom-Nnamdi, Timothy R. Smith, Jukka-Pekka Onnela, and Junwei Lu
    In Review, Submitted, 2023
  2. Knowledge Transfer from Teachers to Learners in Growing-Batch Reinforcement Learning
    Patrick Emedom-Nnamdi, Abram L. Friesen, Bobak Shahriari, Nando Freitas, and Matt W. Hoffman
    In International Conference on Learning Representations (ICLR) – Reincarnating RL Workshop, 2023
  3. Interpretable Statistical Learning for Real-World Behavioral Data
    Patrick Ugochukwu Emedom-Nnamdi
    Harvard University, 2023
  4. Stasis: Reinforcement Learning Simulators for Human-Centric Real-World Environments
    Georgios Efstathiadis, Patrick Emedom-Nnamdi, Arinbjörn Kolbeinsson, Jukka-Pekka Onnela, and Junwei Lu
    In ICLR 2023 – Workshop on Trustworthy Machine Learning for Healthcare, 2023


  1. Queueing Analysis of a Chagas Disease Control Campaign
    Maria T. Rieders, Patrick Emedom-Nnamdi, and Michael Z. Levy