In the realm of Reinforcement Learning, Model-Based vs Model-Free approaches offer distinct advantages. Model-Based RL leverages knowledge of the environment to enhance performance, while Model-Free RL learns directly from experience. Discover the pros of Model-Based RL, compare algorithms, and overview methods in this series.