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• W2275647948 abstract "There are currently no strong methods for planning in a stochastic domain, with low-level sensors that are limited and possibly inaccurate. Existing architectures have flaws that make their use in a real-world environment impractical. We propose an architecture that utilizes POMDPs to create a hierarchical planning system. This system is capable of developing macro-actions that can expedite planning on a large scale, and can learn new plans quickly and efficiently, without deliberate design by the programmer." @default.
• W2275647948 created "2016-06-24" @default.
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• W2275647948 date "2013-07-15" @default.
• W2275647948 modified "2023-09-24" @default.
• W2275647948 title "Autonomous hierarchical POMDP planning from low-level sensors" @default.
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