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PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games
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School of Electronic Engineering and Computer Science
Electronic Engineering and Computer Science
PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games
QMRO Home
School of Electronic Engineering and Computer Science
Electronic Engineering and Computer Science
PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games
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PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games
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Accepted version (723.6Kb)
DOI
10.48550/arxiv.2307.09905
Journal
arXiv
Metadata
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Authors
Balla, M; Long, GEM; Jeurissen, D; Goodman, J; Gaina, RD; Perez-Liebana, D
URI
https://qmro.qmul.ac.uk/xmlui/handle/123456789/89979
Collections
Electronic Engineering and Computer Science
[3490]