Supervised Learning, Unsupervised Learning, Reinforcement Learning, Machine Learning, Artificial Intelligence.
suitable actions and maximize a reward in a particular situation. It uses an agent and environment to produce actions and rewards. The agent has a start and end state. There might be different paths for reaching the end state like a maze. In this learning technique, there is no predefined target