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

Chapter 8. AlphaGo – Reinforcement Learning at Its Best

Games have the best testing environment for many artificial intelligence (AI) algorithms. These simulated environments are cost effective, and algorithms can be tested in a safe way. The major goal of AI is to solve the biggest problems in the world. The major global objectives for AI are:

  • Eradicate poverty
  • Eradicate hunger
  • Primary personalized healthcare for all
  • Quality education
  • Clean energy
  • Good infrastructure
  • Innovation and creativity
  • Reduced inequalities
  • Protecting the planet
  • Tackle climatic change
  • Peace and justice
  • Good jobs
  • Economic growth
  • Solve water crisis

There are many more global objectives that the research technology and industrial community are trying to achieve. Now with AI algorithms and better computational power, the strides towards these objectives have become longer with time. Though it's a very long path to walk, with recent advancements and discoveries we can at least say we are on the right path and in a better place than we...