Author

Audrey Huang

h-index 5 View on Semantic Scholar

We have 1 of 13 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Jul 2026

When Does On-Policy Interaction Help? Representational Tradeoffs in Value-Based Imitation Learning

This work introduces OVI, an interactive on-policy IL algorithm that is statistically efficient whenever the learner can represent the expert's value function and computationally efficient given access to a linear maximization oracle, and introduces a negative result showing that interaction is necessary.

Luca Viano, Antoine Moulin, Audrey Huang et al. · arXiv.org · 0 citations