Reinforcement Learning (RL) is the trending and most promising branch of artificial intelligence. Python Reinforcement Learning will help you master not only the basic reinforcement learning algorithms but also the advanced deep reinforcement learning algorithms. (Limited-time offer)
Table of Contents
- Introduction to Reinforcement Learning
- Getting Started with OpenAI and TensorFlow
- The Markov Decision Process and Dynamic Programming
- Gaming with Monte Carlo Methods
- Temporal Difference Learning
- Multi-Armed Bandit Problem
- Playing Atari Games
- Atari Games with Deep Q Network
- Playing Doom with a Deep Recurrent Q Network
- The Asynchronous Advantage Actor Critic Network
- Policy Gradients and Optimization
- Balancing CartPole
- Simulating Control Tasks
- Building Virtual Worlds in Minecraft
- Learning to Play Go
- Creating a Chatbot
- Generating a Deep Learning Image Classifier
- Predicting Future Stock Prices
- Capstone Project – Car Racing Using DQN
- Looking Ahead
Download Free PDF / Read Online
Author(s): Sudharsan Ravichandiran, Sean Saito, Rajalingappaa Shanmugamani
Publisher: Packt Publishing
Published: April 2019
Format(s): Online
File size: –
Number of pages: 496
Download / View Link(s): This offer has ended.
Free as of 05/13/2022.
Publisher: Packt Publishing
Published: April 2019
Format(s): Online
File size: –
Number of pages: 496
Download / View Link(s): This offer has ended.
Free as of 05/13/2022.