Latent Action Reparameterization for Efficient Agent Inference.

arXiv:2605.18597v3 Announce Type: replace Abstract: Large language model (LLM) agents often rely on long sequences of low-level textual actions, resulting in large effective decision horizons and high inference cost. While prior work has focused on improving i