Taylor Killian

TalkRL: The Reinforcement Learning Podcast

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