Policy Search on Aggregated State Space for Active Sampling
| Authors |
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| Publication date | 2020 |
| Host editors |
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| Book title | Proceedings of the 2018 International Symposium on Experimental Robotics |
| ISBN |
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| ISBN (electronic) |
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| Series | Springer Proceedings in Advanced Robotics |
| Event | 2018 International Symposium on Experimental Robotics |
| Pages (from-to) | 211-221 |
| Publisher | Cham: Springer |
| Organisations |
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| Abstract | We present an anytime adaptive sampling technique that generates paths to efficiently measure and then mathematically model a scalar field by performing non-uniform measurements in a given region of interest. |
| Document type | Conference contribution |
| Note | With supplementary material online. |
| Language | English |
| Published at |
https://doi.org/10.1007/978-3-030-33950-0_19
(Final published version)
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| Published at |
https://www.semanticscholar.org/paper/Policy-Search-on-Aggregated-State-Space-for-Active-Manjanna-Hoof/927b4cb6d2683705aa69a90d2fa1d78b054d1203
(Submitted manuscript)
http://www.cim.mcgill.ca/~mrl/pubs/sandeep/ISER2018.pdf
(Submitted manuscript)
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| Other links | |
| Downloads |
Policy Search on Aggregated State Space for Active Sampling
(Submitted manuscript)
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| Permalink to this page | |
