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Computational complexity of planning and approximate planning in the presence of incompleteness
Artificial Intelligence
Formalizing sensing actions—a transition function based approach
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Dynamic Programming and Optimal Control
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Artificial Intelligence
Theory and Practice of Logic Programming
PADL '09 Proceedings of the 11th International Symposium on Practical Aspects of Declarative Languages
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Compiling uncertainty away in conformant planning problems with bounded width
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Planning and acting in partially observable stochastic domains
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Planning under Uncertainty for Robotic Tasks with Mixed Observability
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Approximation of action theories and its application to conformant planning
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An approximation of action theories of AL and its application to conformant planning
LPNMR'05 Proceedings of the 8th international conference on Logic Programming and Nonmonotonic Reasoning
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This article describes the planner CpA(H), the recipient of the Best Nonobservable Nondeterministic Planner Award in the “Uncertainty Track” of the 6th International Planning Competition (IPC), 2008. The article presents the various techniques that help CpA(H) to achieve the level of performance and scalability exhibited in the competition. The article also presents experimental results comparing CpA(H) with state-of-the-art conformant planners.