Abstract: The goal of this analysis is to use a reinforcement learning (RL) algorithm to develop an artificial intelligence (AI) based therapeutic reminder system and tracker. To increase monitoring ...

The integration of algorithmic trading with reinforcement learning, termed AI-powered trading, is transforming financial markets. Alongside the benefits, it raises concerns for collusion. This study ...

Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge ...

1 Department of Electrical and Computer Engineering, Gulf University for Science and Technology, Hawally, Kuwait 2 Department of Engineering Management, GUST, Hawally, Kuwait Introduction: This study ...

This study evaluates the predictive performance of traditional and machine learning-based models in forecasting NFL team winning percentages over a 21-season dataset (2003–2023). Specifically, we ...

Abstract: This paper introduces the Reinforcement Learning Enhanced Archimedes Optimization Algorithm (RLAOA), an improved variant of the traditional Archimedes Optimization Algorithm (AOA) that ...

We propose TraceRL, a trajectory-aware reinforcement learning method for diffusion language models, which demonstrates the best performance among RL approaches for DLMs. We also introduce a ...