8 citations · 19 across the 5 of their papers we have counts for
5 papers
Faster Policy Learning with Continuous-Time Gradients
Samuel Ainsworth, Kendall Lowrey, John Thickstun +2
We study the estimation of policy gradients for continuous-time systems with known dynamics. By reframing policy learning in continuous-time, we show that it is possible construct…
Mosaic: A Sample-Based Database System for Open World Query Processing
Laurel Orr, Samuel Ainsworth, Walter Cai +3
Data scientists have relied on samples to analyze populations of interest for decades. Recently, with the increase in the number of public data repositories, sample data has become…
Mo' States Mo' Problems: Emergency Stop Mechanisms from Observation
Samuel Ainsworth, Matt Barnes, Siddhartha Srinivasa
In many environments, only a relatively small subset of the complete state space is necessary in order to accomplish a given task. We develop a simple technique using emergency sto…
Interpretable VAEs for nonlinear group factor analysis
Samuel Ainsworth, Nicholas Foti, Adrian KC Lee +1
Deep generative models have recently yielded encouraging results in producing subjectively realistic samples of complex data. Far less attention has been paid to making these gener…
Interactive Preference Learning of Utility Functions for Multi-Objective Optimization
Ian Dewancker, Michael McCourt, Samuel Ainsworth
Real-world engineering systems are typically compared and contrasted using multiple metrics. For practical machine learning systems, performance tuning is often more nuanced than m…