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Found 3 papers, 1 papers with code
Conformal Off-Policy Prediction for Multi-Agent Systems
In this work, we introduce MA-COPP, the first conformal prediction method to solve OPP problems involving multi-agent systems, deriving joint prediction regions for all agents' trajectories when one or more "ego" agents change their policies.
Multi-Modal Conformal Prediction Regions by Optimizing Convex Shape Templates
However, little work has gone into finding non-conformity score functions that produce prediction regions that are multi-modal and practical, i. e., that can efficiently be used in engineering applications.
Physics Constrained Motion Prediction with Uncertainty Quantification
Predicting the motion of dynamic agents is a critical task for guaranteeing the safety of autonomous systems.
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