Disclaimer: This calculator provides a simplified illustration of the REINFORCE policy gradient algorithm on a stateless Multi-Armed Bandit problem. It is for educational purposes only. Real-world reinforcement learning involves complex stateful environments, potentially function approximation (like neural networks), and more advanced algorithms (e.g., Actor-Critic, PPO) for stability and efficiency. Results depend heavily on parameters like learning rate and the number of episodes.