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PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games

dc.contributor.authorBalla, Men_US
dc.contributor.authorLong, GEMen_US
dc.contributor.authorJeurissen, Den_US
dc.contributor.authorGoodman, Jen_US
dc.contributor.authorGaina, RDen_US
dc.contributor.authorPerez-Liebana, Den_US
dc.date.accessioned2023-08-04T11:01:20Z
dc.date.issued2023-07-19en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/89979
dc.relation.ispartofarXiven_US
dc.subjectClinical Researchen_US
dc.titlePyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Gamesen_US
dc.identifier.doi10.48550/arxiv.2307.09905en_US
pubs.notesNot knownen_US


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