Cátia Silva

Spectral Feature Extraction for Reinforcement Learning in Financial Markets Under Nonstationary Dynamics

Reinforcement learning (RL) offers a principled framework for adaptive trading under the nonstationary dynamics of financial markets, yet the interaction between state representation and reward design remains poorly understood. This study represents a controlled empirical comparison of six RL trading agents trained via...