Q1Machine Learning
Question
2 marks
What is Reinforcement Learning?
Answer
Reinforcement Learning is a behavioral mathematical framework where an Agent learns to make optimal sequential decisions in an Environment purely by maximizing a numerical Reward signal.
Reinforcement Learning (RL) is structurally distinct from supervised learning. It mathematically models an Agent interacting with a stateful Environment using Markov Decision Processes (MDPs). The agent executes an Action, observes the new State, and receives a positive or negative numerical Reward, learning a Policy (via algorithms like Q-Learning) to maximize total cumulative reward.