Reinforcement Learning, Artificial Intelligence, Machine Learning, Data Science, Statistics.
consequences of each action. This process of remembering actions and their consequences forms the knowledge base or history for an RL agent. 2. Knowledge Base Utilization: * The agent can leverage its knowledge base to determine the most favourable action in a given state. * Alternatively, a