Supervised Learning, Unsupervised Learning, Reinforcement Learning, Machine Learning, Artificial Intelligence.
factor the more insignificant future rewards will become and vice versa. Environment: It is the surroundings of the agent in which it moves. In the dog example, the environment consists of the owner and the garden in which the dog is present. It is the environment that gives the agent its rewards