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CrashGym: Measuring the Decision Value of Experimentation for LLM Agents in Counterfactual Market Crashes

Lu, Haocheng et al.
arXiv (All) · Papers
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artificial-intelligence
Language-model agents are increasingly asked to run experiments, yet benchmarks rarely measure whether those experiments improve the decisions they are meant to inform. We introduce CrashGym, a deterministic, replayable limit-order-book simulator in which an agent must choose between a deleveraging
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