
The authors propose a scalable algorithm for solving continuous-time discrete-state space POMDPs by approximating the filtering distribution and separating the control problem, enabling effective decision-making in partially observable systems.


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Approximate-Control-for-Continuous-Time-POMDPs-Decision-Making-Framework-for-Partially-Observable-Systems


Approximate Control for Continuous-Time POMDPs: Decision-Making Framework for Partially Observable Systems
