Taylor W. Killian

Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning

Andrew Silva, Matthew Gombolay, Taylor W. Killian et al. · International Conference on Artificial Intelligence and Statistics · 2020 · 41 citations

Artificial Intelligence, Optimization Methods, Engineering +8

Optimization Methods for Interpretable Differentiable Decision Trees in Reinforcement Learning

Andrew Silva, Taylor W. Killian, Ivan Dario Jimenez Rodriguez et al. · arXiv (Cornell University) · 2019 · 15 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +13

Multiple Sclerosis Severity Classification From Clinical Text

Alister D’Costa, Stefan Denkovski, Michal Malyska et al. · 2020 · 13 citations · Full text

An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare

Taylor W. Killian, Haoran Zhang, Jayakumar Subramanian et al. · arXiv (Cornell University) · 2020 · 12 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +16

Rebound and jet formation of a fluid-filled sphere

Taylor W. Killian, Robert A. Klaus, Tadd Truscott · Physics of Fluids · 2012 · 10 citations

Engineering, Impact (Mechanics), Fluid Mechanics +17