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GBTs can outperform neural networks in game-playing scenarios, revealing a potential misalignment in the community's reliance on deep learning methods.
Achieve superhuman performance in imperfect-information games by learning to exploit opponent weaknesses with a transformer-based meta-agent, without sacrificing equilibrium safety.
