AutoRedTrader generates synthetic financial misinformation via behavioral bias manipulation and agent feedback to red-team LLM trading agents, reaching 69% exposure and 26.67% attack success on Bitcoin data simulations.
Sutton and Andrew G
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Proposes max-plus algebra framework to approximate optimal value functions in deterministic MDPs via fixed dictionaries (complexity tied to covering numbers) and adaptive matching-pursuit style bases (empirically effective but without guarantees).
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AutoRedTrader: Autonomous Red Teaming of Trading Agents through Synthetic Misinformation Injection
AutoRedTrader generates synthetic financial misinformation via behavioral bias manipulation and agent feedback to red-team LLM trading agents, reaching 69% exposure and 26.67% attack success on Bitcoin data simulations.
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Max-Plus Matching Pursuit for Deterministic Markov Decision Processes
Proposes max-plus algebra framework to approximate optimal value functions in deterministic MDPs via fixed dictionaries (complexity tied to covering numbers) and adaptive matching-pursuit style bases (empirically effective but without guarantees).