Hands-On Reinforcement Learning with Python

Hands-On Reinforcement Learning with Python

by Sudharsan Ravichandiran

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Product Details

ISBN-13: 9781788836524
Publisher: Packt Publishing, Limited
Publication date: 06/29/2018
Pages: 318
Sales rank: 603,968
Product dimensions: 7.50(w) x 9.25(h) x 0.67(d)

About the Author

Sudharsan Ravichandiran Sudharsan Ravichandiran is a data scientist, researcher, artificial intelligence enthusiast, and YouTuber (search for Sudharsan reinforcement learning). He completed his bachelors in information technology at Anna University. His area of research focuses on practical implementations of deep learning and reinforcement learning, which includes natural language processing and computer vision. He used to be a freelance web developer and designer and has designed award-winning websites. He is an open source contributor and loves answering questions on Stack Overflow.

Table of Contents

Table of Contents

  1. Introduction to Reinforcement Learning
  2. Getting started with OpenAI and Tensorflow
  3. Markov Decision process and Dynamic Programming
  4. Gaming with Monte Carlo Tree Search
  5. Temporal Difference Learning
  6. Multi-Armed Bandit Problem
  7. Deep Learning Fundamentals
  8. Deep Learning and Reinforcement
  9. Playing Doom With Deep Recurrent Q Network
  10. Asynchronous Advantage Actor Critic Network
  11. Policy Gradients and Optimization
  12. Capstone Project – Car Racing using DQN
  13. Current Research and Next Steps

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