POETS: Uncertainty-Aware LLM Optimization via Compute-Efficient Policy Ensembles.

arXiv:2605.07775v2 Announce Type: replace-cross Abstract: Balancing exploration with exploitation is a core challenge in black-box optimization and reinforcement learning. We introduce POETS ($\textbf{Po}$licy $\textbf{E}$nsembles for $\textbf{T}$hompson $\tex