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Recursive Synthesis for Long-Horizon Terminal Tasks

223 upvotes · 5 AUG 2026 · Zhongzhi Li, Yucheng Shi, Zongxia Li et al.

This paper introduces a method to generate long-horizon training tasks for terminal agents at scale, which can be used to improve AI models' performance on tasks like navigation and decision-making. Practitioners might care about this because it could help train more advanced AI models with better performance on complex tasks.

long-horizon tasksterminal agentsrecursive synthesisverified synthesisreinforcement learningdeep reinforcement learning