Deep Learning with Yacine on MSN

RMSProp optimization from scratch in Python

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...
IEEE

Rethinking Adversarial Attacks in Reinforcement Learning from Policy Distribution Perspective

Abstract: Deep Reinforcement Learning (DRL) suffers from uncertainties and inaccuracies in the observation signal in real-world applications. Adversarial attack is an effective method for evaluating ...
IEEE

A Novel RMS-Driven Deep Reinforcement Learning for Optimized Portfolio Management in Stock Trading

Abstract: Algorithmic stock trading has improved tremendously, with Reinforcement Learning (RL) algorithms being more adaptable than classic approaches like mean reversion and momentum. However, ...