most citedMulti-Step First: A Lightweight Deep Reinforcement Learning Strategy for Robust Continuous Control with Partial Observability

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cs.AI2025

Explaining Why Things Go Where They Go: Interpretable Constructs of Human Organizational Preferences

Emmanuel Fashae, Michael Burke, Leimin Tian +2

Robotic systems for household object rearrangement often rely on latent preference models inferred from human demonstrations. While effective at prediction, these models offer limi…