Mohammad Hatim Eliwi

Reinforcement Learning: A Comprehensive Review of Foundations, Algorithms, and Open Challenges

Reinforcement learning (RL) is a branch of machine learning that studies how an agent should act within an environment to maximize cumulative reward. Supervised learning fits a function to labeled examples; RL instead learns through the consequences of trial-and-error interaction. It also differs from unsupervised lear...