agent training 1container environments 1data generation 1large language models 1terminal task synthesis 1
From the 1 of 2 linked papers with an AI index.
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cs.AI2026
Learning What to Share and What to Personalize: Hierarchical Strategy Co-Evolution for Agent Memory
Yupeng Han, Shuochen Liu, Kai Zhang +3
Memory-augmented agents maintain compact user profiles throughout extended conversations, enabling personalized and consistent responses without the need to process the entire dial…
cs.AI2026
Meta-Task: Turning Terminal Task Synthesis into a Terminal Task for Scalable Agent Training
Zhihong Pan, Jiyuan He, Kai Zhang +5
The paper introduces Meta-Task, a framework that generates and verifies terminal tasks inside real container environments, enabling scalable training of terminal agents with high‑q…