Q-learning and value-based methods in reinforcement learning: Among the most widely used techniques in reinforcement learning are Q-learning and value-based algorithms. As artificial intelligence pushes into ever more complex real-world domains, understanding these foundational methods provides insight into how agents learn to act optimally. Reinforcement learning involves developing policies to maximize cumulative future reward. As …