Reinforcement Learning, Data Science, Python, Machine Learning, Computer Science.
max_random. if random_beta > max_random: max_random = random_beta ad = i We then update the value of our variables ads_selected and the reward at the round n. ads_selected.append(ad) reward = dataset.values[n, ad] A new if condition is used to check the value of reward. if reward == 1: