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cs.LG2026
Do as the Romans Do: Learning Universal Behaviors from Heterogeneous Agents
Caleb Chang, Davin Win Kyi, Natasha Jaques +1
Humans often acquire new skills by observing others, since observed behaviors implicitly reveal how to act reasonably in an environment. However, observations drawn from a heteroge…
cs.LG2026
Runtime Monitoring of Perception-Based Autonomous Systems via Embedding Temporal Logic
Parv Kapoor, Abigail Hammer, Ashish Kapoor +2
Runtime monitoring of autonomous systems traditionally relies on mapping continuous sensor observations to discrete logical propositions defined over low-dimensional state variable…