POMDP policies can be checked for robustness to observation model changes by solving a bi-level optimization via root-finding with the Robust Interval Search algorithm, which runs in polynomial time for non-sticky history-independent deviations when using finite-state controllers.
Partially observable markov decision processes in robotics: A survey
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BER is a risk-sensitive online planner that improves UAV delivery success rates under wind uncertainty by routing on a time-dependent energy graph and balancing energy use with return feasibility.
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Robustness Analysis of POMDP Policies to Observation Perturbations
POMDP policies can be checked for robustness to observation model changes by solving a bi-level optimization via root-finding with the Robust Interval Search algorithm, which runs in polynomial time for non-sticky history-independent deviations when using finite-state controllers.
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Robust Energy-Aware Routing for Air-Ground Cooperative Multi-UAV Delivery in Wind-Uncertain Environments
BER is a risk-sensitive online planner that improves UAV delivery success rates under wind uncertainty by routing on a time-dependent energy graph and balancing energy use with return feasibility.