Bridging Local and Global Knowledge via Transformer in Board Games
Published in IJCAI-25, 2024
This research introduces ResTNet, which combines residual and Transformer blocks to enhance board game performance by integrating local and global knowledge.
Recommended citation: Yan-Ru Ju, Tai-Lin Wu, Chung-Chin Shih, Ti-Rong Wu. (2025). "Bridging Local and Global Knowledge via Transformer in Board Games." IJCAI-25.
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