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Como Research
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FootsiesGym reveals the complexities of imperfect-information games, providing a novel benchmark that challenges conventional RL strategies.
EMAgnet reduces exploitability in self-play scenarios by dynamically adapting regularization to the agent's evolving strategy, outperforming traditional methods.
