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Resolving conflicting constraints in multi-agent reinforcement learning with layered safety

Inroads to personalized AI trip planning

AI-enabled control system helps autonomous drones stay on target in uncertain environments

TeLoGraF: Temporal logic planning via graph-encoded flow matching

REALM: Real-time estimates of assistance for learned models in human-robot interaction

Learning how to predict rare kinds of failures

Deploying a practical solution to space debris

DYNUS: Uncertainty-aware trajectory planner in cynamic unknown environments

Solving multi-agent safe optimal control with distributed epigraph form MARL

Optimal quantum state discrimination with fixed measurements

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