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#artificial intelligence Preprint Sep 2026

LIBERO-MAX: Do Robot Policies Adapt When the World Changes?

Robots must often continue a task after a target moves, the viewpoint shifts, or an obstacle appears, even though their earlier observations and committed actions reflect the previous scene. Many simulation robustness benchmarks fix external conditions at reset, leaving this temporal challenge underexamined. We introdu...

Yun-Bei Zhang, Zi-Jian Jin, Yuan-Zhe Liu et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Social Laws for Multi-agent Coordination in Stochastic Environments

In multi-agent environments, coordinating agents to prevent interference and ensure robust individual performance is a critical challenge. Previous research on social laws for multi-agent systems has primarily focused on deterministic, goal-based settings. This paper extends the concept of social laws to stochastic, re...

Rolando Fernandez, Caleb Probine, Tyler Lee et al. · 0 citations

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