Reinforcement Learning, Artificial Intelligence, Machine Learning, Data Science, Statistics.
(reward - self.q_estimation[action]) return reward simulate: The simulate function runs simulations for multiple bandit algorithms and compares their performance. def simulate(runs, time, bandits): rewards = np.zeros((len(bandits), runs, time)) best_action_counts = np.zeros(rewards.shape) for i,