"PyTAG: Tabletop Games for Multiagent Reinforcement Learning."

Martin Balla et al. (2024)

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DOI: 10.1109/TG.2024.3404133

access: closed

type: Journal Article

metadata version: 2025-01-25

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Martin Balla, George E. M. Long, James Goodman, Raluca D. Gaina, Diego Perez Liebana:
PyTAG: Tabletop Games for Multiagent Reinforcement Learning. IEEE Trans. Games 16(4): 993-1002 (2024)

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