SEAS, Harvard University, Cambridge, MA, USA; Division of Pulmonary and Critical Care, Michigan Medicine, Ann Arbor, MI, USA; Division of Computer Science & Engineering, University of Michigan, Ann Arbor, MI, USA
Shengpu Tang, Maggie Makar, Michael Sjoding, Finale Doshi-Velez, Jenna Wiens
reinforcement learning;offline rl;action space factorization;bias-variance trade-off;domain knowledge;healthcare;sepsis
Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare