👉 Reinforcement learning (RL) is a type of machine learning where an agent learns to make decisions or solve problems by interacting with its environment. In RL, an agent interacts with its environment through actions that it can take and receives rewards for each action taken. When an agent learns how to react to its environment, it uses reinforcement learning algorithms to update its state-action values (Ss) based on the experience gained from each episode of interaction. The more experienced the agent is at interacting with its
