Reinforcement Learning, Artificial Intelligence, Machine Learning, Data Science, Statistics.
transitions with associated probabilities and expected rewards. Goals and Rewards In reinforcement learning, the agent’s objective is defined by a reward signal received from the environment. The agent’s aim is to maximize the cumulative reward over time, encapsulated in the reward hypothesis. This