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