Reinforcement Learning (RL)

What is Reinforcement Learning?

Reinforcement Learning is a type of ML where the model is trained to learn from mistakes in a simulated environment. Reinforcement learning is typically used in robotics and manufacturing applications. The model learns to perform a task by reinforcement; positive outcomes are rewarded and negative outcomes are punished. It is quite similar to how pets are trained to perform particular actions by reinforcing correct behaviours with rewards.