Abstract: This paper aims to explore a new hybrid algorithm that combines the advantages of Q-learning and Deep Deterministic Policy Gradient (Deep Deterministic Policy Gradient, DDPG) algorithms to ...
Abstract: Financial transactions' growing quantities and complexity require improved anomaly detection techniques to fight fraud. This paper looks at the application of self-enclosure neural networks ...