Download
This project provides the Julia code to generate figures in the book Reinforcement Learning: An Introduction(2nd). One of our main goals is to help users understand the basic concepts of reinforcement learning from an engineer's perspective. Once you have grasped how different components are organized, you're ready to explore a wide variety of modern deep reinforcement learning algorithms in ReinforcementLearningZoo.jl.
Features
- Julia code for the book Reinforcement Learning An Introduction
- Explore a wide variety of modern deep reinforcement learning algorithms
- Helps users to understand the basic concepts of reinforcement learning
- How to organize different components
- Licensed under the MIT License
Project Samples
Categories
Data Visualization, Reinforcement Learning Frameworks, Reinforcement Learning Libraries, Reinforcement Learning AlgorithmsLicense
MIT LicenseFollow ReinforcementLearningAnIntroduction.jl
Other Useful Business Software
MongoDB Atlas runs apps anywhere
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of ReinforcementLearningAnIntroduction.jl!
