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Filtering by: Creator Oregon State University. Dept. Of Computer Science Resource Type Research Paper Subject Markov processes

A POMDP approximation algorithm that anticipates the need to observe

Approximation algorithms for solving cost observable Markov decision processes

A POMDP approximation algorithm that anticipates the need to observe

Two heuristics for solving POMDPs having a delayed need to observe

Pruning improves heuristic search for cost-sensitive learning

Learning diagnostic policies from examples by systematic search

Integrating learning from examples into the search for diagnostic policies