Belief selection in point-based planning algorithms for POMDPs
Current point-based planning algorithms for solving partially observable Markov decision processes (POMDPs) have demonstrated that a good approximation of the value function can be derived by interpolation from the values of a specially selected set of points. The performance of these algorithms can...
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| Format: | conferenceObject |
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2017
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| Online Access: | http://hdl.handle.net/10725/5374 http://dx.doi.org/10.1007/11766247_33 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://link.springer.com/chapter/10.1007/11766247_33 |
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