Madeline Liao

2 accepted papers

2022

Eliciting Compatible Demonstrations for Multi-Human Imitation Learning

Kanishk Gandhi, Siddharth Karamcheti, Madeline Liao, Dorsa Sadigh

CoRL 2022poster

Imitation learning from human-provided demonstrations is a strong approach for learning policies for robot manipulation. While the ideal dataset for imitation learning is homogenous and low-variance - reflecting a single, optimal method for performing a task - natural human behavior has a great deal…

Cited by 22 Source ↗Scholar ↗

2021

Featurized density ratio estimation

Kristy Choi, Madeline Liao, Stefano Ermon

UAI 2021poster

Density ratio estimation serves as an important technique in the unsupervised machine learning toolbox. However, such ratios are difficult to estimate for complex, high-dimensional data, particularly when the densities of interest are sufficiently different. In our work, we propose to leverage an in…

Cited by 33 Source ↗PDF ↗code ↗Scholar ↗