Unveiling the Black Box: Counterfactual Analysis for Transparent and Robust Reinforcement Learning in Algorithmic Trading
Reinforcement learning (RL) has emerged as a powerful paradigm for developing adaptive trading agents;however, the “black-box” nature of these models remains a persistent barrier to institutional trust and regulatory acceptance.This paper introduces a novel framework that integrates Counterfactual Analysis (CFA) into t...