Reinforcement Learning, Deep Learning, Machine Learning, Neural Networks, Algorithms.
decisions based on rewards and punishments received from its environment. RL is different from supervised and unsupervised learning, as it doesn’t rely on pre-existing labeled datasets. Instead, the agent interacts with its environment, receives feedback in the form of rewards or punishments, and