Huikang Liu

An MILP-Based Solution Scheme for Factored and Robust Factored Markov Decision Processes

  • Huikang Liu
  • Wolfram Wiesemann
  • Man-Chung Yue
    • Categories (Mixed) Integer Linear Programming, Robust Optimization Tags ,

    Factored Markov decision processes (MDPs) are a prominent paradigm within the artificial intelligence community for modeling and solving large-scale MDPs whose rewards and dynamics decompose into smaller, loosely interacting components. Through the use of dynamic Bayesian networks and context-specific independence, factored MDPs can achieve an exponential reduction in the state space of an MDP and … Read more

    Differential Privacy via Distributionally Robust Optimization

  • Aras Selvi
  • Huikang Liu
  • Wolfram Wiesemann
    • Categories Robust Optimization, Stochastic Programming Tags , ,

    In recent years, differential privacy has emerged as the de facto standard for sharing statistics of datasets while limiting the disclosure of private information about the involved individuals. This is achieved by randomly perturbing the statistics to be published, which in turn leads to a privacy-accuracy trade-off: larger perturbations provide stronger privacy guarantees, but they … Read more

    Optimal Hospital Care Scheduling During the SARS-CoV-2 Pandemic

  • Josh D'Aeth
  • Shubhechyya Ghosal
  • Fiona Grimm
  • David Haw
  • Esma Koca
  • Krystal Lau
  • Huikang Liu
  • Stefano Moret
  • Dheeya Rizmie
  • Peter Smith
  • Giovanni Forchini
  • Marisa Miraldo
  • Wolfram Wiesemann
    • Categories Applications - OR and Management Sciences, Dynamic Programming, Stochastic Programming Tags , , ,

    The COVID-19 pandemic has seen dramatic demand surges for hospital care that have placed a severe strain on health systems worldwide. As a result, policy makers are faced with the challenge of managing scarce hospital capacity so as to reduce the backlog of non-COVID patients whilst maintaining the ability to respond to any potential future … Read more