Business, Artificial Intelligence, Reinforcement Learning.
where agents learn to make decisions by interacting with an environment to maximize cumulative rewards. In hierarchical RL, the decision-making process is organized into multiple levels of abstraction, allowing agents to learn and operate at different temporal scales. This hierarchical structure