Book Image

Reinforcement Learning with TensorFlow

By : Sayon Dutta
Book Image

Reinforcement Learning with TensorFlow

By: Sayon Dutta

Overview of this book

Reinforcement learning (RL) allows you to develop smart, quick and self-learning systems in your business surroundings. It's an effective method for training learning agents and solving a variety of problems in Artificial Intelligence - from games, self-driving cars and robots, to enterprise applications such as data center energy saving (cooling data centers) and smart warehousing solutions. The book covers major advancements and successes achieved in deep reinforcement learning by synergizing deep neural network architectures with reinforcement learning. You'll also be introduced to the concept of reinforcement learning, its advantages and the reasons why it's gaining so much popularity. You'll explore MDPs, Monte Carlo tree searches, dynamic programming such as policy and value iteration, and temporal difference learning such as Q-learning and SARSA. You will use TensorFlow and OpenAI Gym to build simple neural network models that learn from their own actions. You will also see how reinforcement learning algorithms play a role in games, image processing and NLP. By the end of this book, you will have gained a firm understanding of what reinforcement learning is and understand how to put your knowledge to practical use by leveraging the power of TensorFlow and OpenAI Gym.
Table of Contents (21 chapters)
Title Page
Packt Upsell

Computational advertising challenges and bidding strategies

Advertising is a mode of conveying information. The core task of computational advertising is to find the best match between a given user in a given context and an advertisement, where the following factors apply:

  • Context/Auctioneer: A platform visited by a user and that is deemed fit for advertisements, for example:
    • A user using a search engine. Therefore, sponsored advertisements in such a scenario form a good plan.
    • A user reading a web page. Therefore, display advertisements fit such cases.
    • A user watching any video (movie, clips, short videos, and so on). Therefore, short video advertisements are good.
  • Constraints: The biggest constraint of all for the advertiser is limited budget and limited time period.

The core challenges to meet regarding the preceding goals are as follows:

  • Designing markets and exchanges that can facilitate the task and maximize value for all the participating stake holders, which are users, advertisers, and...