Аннотация
We give an overview of recent exciting achievements of deep reinforcement learning (RL). We start with background of deep learning and reinforcement learning, as well as introduction of testbeds. Next we discuss Deep Q-Network (DQN) and its extensions, asynchronous methods, policy optimization, reward, and planning.
After that, we talk about attention and memory, unsupervised learning, and learning to learn. Then we discuss various applications of RL, including games, in particular, AlphaGo, robotics, spoken dialogue systems (a.k.a. chatbot), machine translation, text sequence prediction, neural architecture design, personalized web services, healthcare, finance, and music generation. We mention topics/papers not reviewed yet. After listing acollection of RL resources,weclose withdiscussions.
![Изучаем Python [Программирование игр, визуализация данных, веб-приложения]](https://www.rulit.me/data/programs/images/izuchaem-python-programmirovanie-igr-vizualizaciya-dannyh-ve_568581.jpg "Книга \"Изучаем Python\" - это ускоренный курс, который позволит вам сэкономить время и сразу начать писать работоспособные программы (игры, визуализации данных,...")
![Learn Python in One Day and Learn It Well [Python for Beginners with Hands-on Project]](https://www.rulit.me/data/programs/images/learn-python-in-one-day-and-learn-it-well-python-for-beginne_556376.jpg "Learn Python Fast and Learn It Well. Master Python Programming with a unique Hands-On Project
Have you always wanted to learn computer programming but are afraid it")
![Теоретический минимум по Big Data [Всё что нужно знать о больших данных]](https://www.rulit.me/data/programs/images/teoreticheskij-minimum-po-big-data-vsyo-chto-nuzhno-znat-o-b_590848.jpg "Cегодня Big Data – это большой бизнес.
Нашей жизнью управляет информация, и извлечение выгоды из нее становится центральным моментом в работе современных...")
Комментарии к книге "Deep reinforcement learning: an overview"