Reinforcement Learning, Data Science, Python, Machine Learning, Computer Science.
= [] numbers_of_rewards_1 = [0] * d numbers_of_rewards_0 = [0] * d total_reward = 0 for n in range(0, N): ad = 0 max_random = 0 for i in range(0, d): random_beta = random.betavariate(numbers_of_rewards_1[i] + 1, numbers_of_rewards_0[i] + 1) if random_beta > max_random: max_random = random_beta ad =