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