Reinforcement Learning, Data Science, Machine Learning, Machine Learning Ai, Data Analytics.
adjust its Q-function to better estimate the expected reward for each state-action pair. This process is repeated many times until the agent converges on an optimal policy. Reinforcement learning is particularly useful when there is no existing labeled data available for training. For example, in