The Reinforcement Learning Workshop
With the help of practical examples and engaging activities, The Reinforcement Learning Workshop takes you through reinforcement learning’s core techniques and frameworks. Following a hands-on approach, it allows you to learn reinforcement learning at your own pace to develop your own intelligent applications with ease.
Offered by
Difficulty Level
Intermediate
Completion Time
27h24m
Language
English
About Book
Who Is This Book For?
If you are a data scientist, machine learning enthusiast, or a Python developer who wants to learn basic to advanced deep reinforcement learning algorithms, this workshop is for you. A basic understanding of the Python language is necessary.
The Reinforcement Learning Workshop
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 27h24m total length
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
Related Resources
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