Рассмотрим первый рабочий метод Q-learning, который лежит в основе множества других алгоритмов обучения с подкреплением. Также, с помощью этого метода решим две задачи из тех, которые были на предыдущем семинаре.
Consider the first working method of Q-learning, which underlies many other reinforcement learning algorithms. Also, using this method, we will solve two problems from those that were at the previous seminar.
00:00:00 Начало видео
00:08:24 Решение задач первой лекции
00:12:23 Уравнение Беллмана без действий
00:26:01 Метод Монте Карло
00:32:26 Уравнение Беллмана с действиями
00:36:43 Стратегии жадные и не очень
00:41:53 Максимизация Q-функции
00:47:46 Метод Монте Карло
00:55:56 Q-learning
01:04:25 Frozen Lake
01:06:23 Frozen Lake: Q-learning
01:28:12 Mountain Car
01:37:32 Mountain Car: Q-learning в динамике
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