Author

M. Chen

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#machine learning Dec 2025

Learning Steerable Clarification Policies with Collaborative Self-play

This work uses Reinforced Self-Training (ReST) to train the model to achieve high reward and shows this leads to a steerable policy that changes its behavior predictably conditioned on the provided costs, leading to higher reward and accuracy.

Jonathan Berant, M. Chen, Adam Fisch et al. · arXiv.org · 6 citations · ⚡2