Reinforcement Learning with Tensorflow: Learn the art of designing self-learning systems with TensorFlow and OpenAI Gym
by: Sayon Dutta
ISBN-10: 1788835727
ISBN-13: 9781788835725
Released: 2018-05-09
Pages: 398
Publisher finelybook 出版社: Packt
Book Description
Reinforcement Learning (RL),allows you to develop smart,quick and self-learning systems in your business surroundings. It is an effective method to train your learning agents and solve a variety of problems in Artificial Intelligence—from games,self-driving cars and robots to enterprise applications that range from datacenter energy saving (cooling data centers) to smart warehousing solutions.
The book covers the major advancements and successes achieved in deep reinforcement learning by synergizing deep neural network architectures with reinforcement learning. The book also introduces readers to the concept of Reinforcement Learning,its advantages and why it’s gaining so much popularity. The book also discusses on MDPs,Monte Carlo tree searches,dynamic programming such as policy and value iteration,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 a firm understanding of what reinforcement learning is and how to put your knowledge to practical use by leveraging the power of TensorFlow and OpenAI Gym.
Contents
1: DEEP LEARNING – ARCHITECTURES AND FRAMEWORKS
2: TRAINING REINFORCEMENT LEARNING AGENTS USING OPENAI GYM
3: MARKOV DECISION PROCESS
4: POLICY GRADIENTS
5: Q-LEARNING AND DEEP Q-NETWORKS
6: ASYNCHRONOUS METHODS
7: ROBO EVERYTHING – REAL STRATEGY GAMING
8: ALPHAGO – REINFORCEMENT LEARNING AT ITS BEST
9: REINFORCEMENT LEARNING IN AUTONOMOUS DRIVING
10: FINANCIAL PORTFOLIO MANAGEMENT
11: REINFORCEMENT LEARNING IN ROBOTICS
12: DEEP REINFORCEMENT LEARNING IN AD TECH
13: REINFORCEMENT LEARNING IN IMAGE PROCESSING
14: DEEP REINFORCEMENT LEARNING IN NLP
What You Will Learn
Implement state-of-the-art Reinforcement Learning algorithms from the basics
Discover various techniques of Reinforcement Learning such as MDP,Q Learning and more
Learn the applications of Reinforcement Learning in advertisement,image processing,and NLP
Teach a Reinforcement Learning model to play a game using TensorFlow and the OpenAI gym
Understand how Reinforcement Learning Applications are used in robotics
Authors
Sayon Dutta
Sayon Dutta is an Artificial Intelligence researcher and developer. A graduate from IIT Kharagpur,he owns the software copyright for Mobile Irrigation Scheduler. At present,he is an AI engineer at Wissen Technology. He co-founded an AI startup Marax AI Inc.,focused on AI-powered customer churn prediction. With over 2.5 years of experience in AI,he invests most of his time implementing AI research papers for industrial use cases,and weightlifting.
