Tag: K Nearest Neighbors versus Q Learning

Q-Learning and k-Nearest Neighbors (k-NN) are two distinct algorithms used in different areas of machine learning. Here’s a comparison to highlight their differences: Q-Learning Overview: Type: Reinforcement Learning Purpose: To find the optimal action-selection policy in a given environment by maximizing cumulative rewards. Learning Method: Model-free learning from interactions with the environment. Core Concept: Uses…