The paper introduces Rao-Blackwellized particle filters for goal inference under closed-loop agent dynamics, with Gaussian mixture estimators and information-theoretic bounds on intent recovery.
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Goal inference with Rao-Blackwellized Particle Filters
The paper introduces Rao-Blackwellized particle filters for goal inference under closed-loop agent dynamics, with Gaussian mixture estimators and information-theoretic bounds on intent recovery.