Plan Before You Trade: Inference-Time Optimization for RL Trading Agents
arXiv:2605.12653v2 Announce Type: replace-cross Abstract: Reinforcement learning agents for portfolio management are typically trained and deployed as static policies, with no mechanism for policy adjustments using price forecasts at inference time. We propose FinPILOT (Financial Plugin Inference-time Learning for Optimal Trading), a plugin inference-time policy optimization framework inspired by Model Predictive Control (MPC). Under the price-taker assumption, portfolio actions do not affect f…