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cs.AI2026
Propose to Learn, Learn to Propose: Evaluability-Aware Assistance under Bounded Rationality
Yifan Zhu, Sammie Katt, Samuel Kaski
AI assistants often collaborate by proposing candidate edits, plans, or designs that users evaluate before adoption. Existing assistance methods focus on proposal quality or user-g…
cs.AI2026
Generative-Model Predictive Planning for Navigation in Partially Observable Environments
Thomas Quilter, Yifan Zhu, Guorui Quan +2
Navigation in partially observable environments presents a significant challenge for autonomous agents, requiring effective decision-making with limited sensory information in unkn…