Understanding Exploration vs. Exploitation in Reinforcement Learning (RL)

In the realm of machine learning agents develop their best possible behaviors by conducting interactions with their environment through a technique called Reinforcement Learning (RL). RL contains an essential problem which requires agents to determine the correct point between exploring and maximizing rewards. The article investigates exploration-exploitation balance theory together with its implementation methods through…