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University of Texas at Austin
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FTRL learners are inherently exploitable in two-player games, regardless of equilibrium structure, revealing a fundamental weakness in this widely used optimization strategy.
LLMs can now directly predict scalar values with a tiny, efficient head (3.4M parameters) that outperforms prior regression methods.
