Taylor Killian
Taylor Killian on the latest in RL for Health, including Hidden Parameter MDPs, Mimic III and Sepsis, Counterfactually Guided Policy Transfer and lots more!
TalkRL: The Reinforcement Learning Podcast
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Show Notes
Taylor Killian is a Ph.D. student at the University of Toronto and the Vector Institute, and an Intern at Google Brain.
Featured References
Direct Policy Transfer with Hidden Parameter Markov Decision Processes
Yao, Killian, Konidaris, Doshi-Velez
Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes
Killian, Daulton, Konidaris, Doshi-Velez
Transfer Learning Across Patient Variations with Hidden Parameter Markov Decision Processes
Killian, Konidaris, Doshi-Velez
Counterfactually Guided Policy Transfer in Clinical Settings
Killian, Ghassemi, Joshi
Additional References
- Hidden Parameter Markov Decision Processes: A Semiparametric Regression Approach for Discovering Latent Task Parametrizations, Doshi-Velez, Konidaris
- Mimic III, a freely accessible critical care database. Johnson AEW, Pollard TJ, Shen L, Lehman L, Feng M, Ghassemi M, Moody B, Szolovits P, Celi LA, and Mark RG
- The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care, Komorowski et al