Reinforcement Learning, Machine Learning, Deep Learning, Artificial Intelligence.
learning. At its core, RL involves an agent who learns to navigate an environment in order to maximize a cumulative reward. The agent takes actions based on its current state, receives feedback in the form of rewards, and uses these rewards to refine its decision-making process over time. On-Policy