Artificial Intelligence, Finance, Reinforcement Learning, Data Science, Innovation.
so it needs to explore and learn from its experiences. The QLearningAgent class stores a table (called the Q-table) where each row represents a state (a position in the maze), and each column represents an action (like moving up, down, left, or right). The agent follows a strategy called