| dc.contributor.author | Zhao, Ying | |
| dc.contributor.author | Hemberg, Erik | |
| dc.contributor.author | Derbinsky, Nate | |
| dc.contributor.author | Mata, Gabino | |
| dc.contributor.author | O’Reilly, Una-May | |
| dc.date.accessioned | 2022-10-24T14:22:36Z | |
| dc.date.available | 2022-10-24T14:22:36Z | |
| dc.date.issued | 2021-07-07 | |
| dc.identifier.isbn | 978-1-4503-8351-6 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/145958 | |
| dc.publisher | ACM|2021 Genetic and Evolutionary Computation Conference Companion | en_US |
| dc.relation.isversionof | https://doi.org/10.1145/3449726.3463172 | en_US |
| 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. | en_US |
| dc.source | ACM|2021 Genetic and Evolutionary Computation Conference Companion | en_US |
| dc.title | Simulating a Logistics Enterprise Using an Asymmetrical Wargame Simulation with Soar Reinforcement Learning and Coevolutionary Algorithms | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Zhao, Ying, Hemberg, Erik, Derbinsky, Nate, Mata, Gabino and O’Reilly, Una-May. 2021. "Simulating a Logistics Enterprise Using an Asymmetrical Wargame Simulation with Soar Reinforcement Learning and Coevolutionary Algorithms." | |
| dc.contributor.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | |
| dc.identifier.mitlicense | PUBLISHER_POLICY | |
| 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 | 2022-10-20T07:46:18Z | |
| dc.language.rfc3066 | en | |
| dc.rights.holder | ACM | |
| dspace.date.submission | 2022-10-20T07:46:19Z | |
| mit.license | PUBLISHER_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
