Business, Artificial Intelligence, Reinforcement Learning.
among agents. Each agent’s actions influence not only its own rewards but also those of other agents, leading to intricate dynamics that traditional RL methods struggle to handle. In such scenarios, hierarchical RL offers a promising approach by enabling agents to learn hierarchical policies that