Agent Based Modeling, Reinforcement Learning, Data Science, Machine Learning, Artificial Intelligence.
operate in an environment with a defined set of possible actions and states. The agent learns to select actions based on its current state, influencing the subsequent states and future actions. 2. Reward Signal: Agents receive a reward signal for each action taken. The goal is to learn a policy