Sangam: A Confluence of Knowledge Streams

Closed-Loop Control of Direct Ink Writing via Reinforcement Learning

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dc.contributor Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.creator Piovarci, Michal
dc.creator Foshey, Michael
dc.creator Xu, Jie
dc.creator Erps, Timothy
dc.creator Babaei, Vahid
dc.creator Didyk, Piotr
dc.creator Rusinkiewicz, Szymon
dc.creator Matusik, Wojciech
dc.creator Bickel, Bernd
dc.date 2022-11-15T17:15:58Z
dc.date 2022-11-15T17:15:58Z
dc.date 2022-07-22
dc.date 2022-11-03T12:26:04Z
dc.date.accessioned 2023-02-17T19:56:00Z
dc.date.available 2023-02-17T19:56:00Z
dc.identifier 978-1-4503-9330-0
dc.identifier https://hdl.handle.net/1721.1/146461
dc.identifier Piovarci, Michal, Foshey, Michael, Xu, Jie, Erps, Timothy, Babaei, Vahid et al. 2022. "Closed-Loop Control of Direct Ink Writing via Reinforcement Learning."
dc.identifier PUBLISHER_POLICY
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/242050
dc.format application/pdf
dc.language en
dc.publisher ACM|Special Interest Group on Computer Graphics and Interactive Techniques Conference Technical Papers
dc.relation https://doi.org/10.1145/3528223.3530144
dc.rights Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
dc.rights ACM
dc.source ACM|Special Interest Group on Computer Graphics and Interactive Techniques Conference Technical Papers
dc.title Closed-Loop Control of Direct Ink Writing via Reinforcement Learning
dc.type Article
dc.type http://purl.org/eprint/type/JournalArticle


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