The Reinforcement Learning Workshop
Learn how to apply cutting-edge reinforcement learning algorithms to a wide range of control problems
Publisher:Packt Publishing Limited
Paid access
|Jan 2020Table of Contents
- Introduction to Reinforcement Learning
- Markov Decision Processes and Bellman Equations
- Deep Learning in Practice with TensorFlow 2
- Getting Started with OpenAI and TensorFlow for Reinforcement Learning
- Dynamic Programming
- Monte Carlo Methods
- Temporal Difference Learning
- The Multi-Armed Bandit Problem
- What Is Deep Q Learning?
- Playing an Atari Game with Deep Recurrent Q Networks
- Policy-Based Methods for Reinforcement Learning
- Evolutionary Strategies for RL
PDF ISBN: 978-1-80020-996-1
Publisher: Packt Publishing Limited
Publication date: 2020
Language: English
Pages: 822
Related subjects:
