On Training Large Language Models for Long-Horizon Tasks: An Empirical Study of Horizon Length

arXiv:2605.02572v1 Announce Type: new Abstract: Large language models (LLMs) have shown promise as interactive agents that solve tasks through extended sequences of environment interactions. While prior work has primarily focused on system-level optimizations or algorithmic improvements, the role...