Author

Le-Qi Liu

h-index 9 View on Semantic Scholar

We have 1 of 21 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

Inverse RL Helps Align AI by Imitating Humans

It is shown that the recovered reward improves a base policy without a supervised loss and yields further gains when optimized after standard supervised fine-tuning and can be used for contextual alignment, in which a single policy can be tailored to the preferences of different audiences.

Michal Wilinski, Le-Qi Liu, Chirag Nagpal · arXiv.org · 0 citations