Supervised Learning, Unsupervised Learning, Reinforcement Learning, Machine Learning, Artificial Intelligence.
as an output based upon the agent’s current state and action as inputs. State: A state is an immediate situation in which the agents find themselves in relation to other important things in the surroundings like tools, obstacles, enemies, and prizes/rewards. Here the dog is required to Reward(R):