| dc.contributor.author | Tripathi, Vishrant | |
| dc.contributor.author | Modiano, Eytan | |
| dc.date.accessioned | 2022-09-15T17:01:55Z | |
| dc.date.available | 2022-09-15T17:01:55Z | |
| dc.date.issued | 2021 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/145436 | |
| dc.language.iso | en | |
| dc.publisher | ACM | en_US |
| dc.relation.isversionof | 10.1145/3466772.3467053 | en_US |
| dc.rights | Creative Commons Attribution 4.0 International license | en_US |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
| dc.source | ACM | en_US |
| dc.title | An Online Learning Approach to Optimizing Time-Varying Costs of AoI | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Tripathi, Vishrant and Modiano, Eytan. 2021. "An Online Learning Approach to Optimizing Time-Varying Costs of AoI." Proceedings of the Twenty-second International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing. | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics | en_US |
| dc.relation.journal | Proceedings of the Twenty-second International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dc.date.updated | 2022-09-15T16:44:54Z | |
| dspace.orderedauthors | Tripathi, V; Modiano, E | en_US |
| dspace.date.submission | 2022-09-15T16:44:55Z | |
| mit.license | PUBLISHER_CC | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
