LiteCoder-Terminal: Scaling Long-Horizon Terminal Environments for Learning Language Agents 事件

LiteCoder-Terminal: Scaling Long-Horizon Terminal Environments for Learning Language Agents arXiv:2605.29559v1 Announce Type: new Abstract: Mastering terminal environments requires language agents capable of multi-step planning, feedback-grounded execution, and dynamic state adaptation. However, training such agents is currently bottlenecked by a reliance on scraped external repositories, which limits domain diversity, environment controllability, and the targeting of specific capability defici