AI RESEARCH
Plan Before You Trade: Inference-Time Optimization for RL Trading Agents
arXiv CS.AI
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ArXi:2605.12653v1 Announce Type: cross Reinforcement learning agents for portfolio management are typically trained and deployed as static policies, with no mechanism for using price forecasts at inference time. We propose $\text{FPILOT}$ (**Fin**ancial **P**lugin **I**nference-time **L**earning for **O**ptimal **T**rading), a plugin inference-time optimization framework inspired by Model Predictive Control