Fixed Deep Residual Networks with Multi-Objective Proximal Policy Optimization for Adaptive Trading
Adaptive trading systems must balance return generation with downside control while processing noisy, non stationary market data. This study evaluates a preference conditioned trading framework that combines a randomly initialized, permanently frozen deep residual network (DRN) with a single multi-objective proximal po...