Please use this identifier to cite or link to this item:
https://doi.org/10.1007/978-3-642-17452-0_11
DC Field | Value | |
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dc.title | Monte Carlo value iteration for continuous-state POMDPs | |
dc.contributor.author | Bai, H. | |
dc.contributor.author | Hsu, D. | |
dc.contributor.author | Lee, W.S. | |
dc.contributor.author | Ngo, V.A. | |
dc.date.accessioned | 2013-07-04T08:13:07Z | |
dc.date.available | 2013-07-04T08:13:07Z | |
dc.date.issued | 2010 | |
dc.identifier.citation | Bai, H.,Hsu, D.,Lee, W.S.,Ngo, V.A. (2010). Monte Carlo value iteration for continuous-state POMDPs. Springer Tracts in Advanced Robotics 68 (STAR) : 175-191. ScholarBank@NUS Repository. <a href="https://doi.org/10.1007/978-3-642-17452-0_11" target="_blank">https://doi.org/10.1007/978-3-642-17452-0_11</a> | |
dc.identifier.isbn | 9783642174513 | |
dc.identifier.issn | 16107438 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/40821 | |
dc.description.abstract | Partially observable Markov decision processes (POMDPs) have been successfully applied to various robot motion planning tasks under uncertainty. However, most existing POMDP algorithms assume a discrete state space, while the natural state space of a robot is often continuous. This paper presents Monte Carlo Value Iteration (MCVI) for continuous-state POMDPs. MCVI samples both a robot's state space and the corresponding belief space, and avoids inefficient a priori discretization of the state space as a grid. Both theoretical results and preliminary experimental results indicate that MCVI is a promising new approach for robot motion planning under uncertainty. © 2010 Springer-Verlag Berlin Heidelberg. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/978-3-642-17452-0_11 | |
dc.source | Scopus | |
dc.type | Conference Paper | |
dc.contributor.department | COMPUTER SCIENCE | |
dc.description.doi | 10.1007/978-3-642-17452-0_11 | |
dc.description.sourcetitle | Springer Tracts in Advanced Robotics | |
dc.description.volume | 68 | |
dc.description.issue | STAR | |
dc.description.page | 175-191 | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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