Spatial and Temporal Abstractions in POMDPs Applied to Robot Navigation
Partially observable Markov decision processes (POMDPs) are a well studied paradigm for programming autonomous robots, where the robot sequentially chooses actions to achieve long term goals efficiently. Unfortunately, for real world robots and other similar domains, the uncertain outcomes of the a...
| Egile Nagusiak: | , , |
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| Hizkuntza: | en_US |
| Argitaratua: |
2005
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| Gaiak: | |
| Sarrera elektronikoa: | http://hdl.handle.net/1721.1/30569 |