Reinforcement learning is a type of machine learning that enables the use of artificial intelligence in complex applications from video games to robotics, self-driving cars, and more.
If you are interested in using reinforcement learning technology for your project, but you’ve never used it before, where do you begin?
This ebook, the last of a series of three, will help you get started with reinforcement learning in MATLAB® and Simulink® by explaining the terminology and providing access to examples, tutorials, and trial software.
Read this ebook to learn about:
- Policy-based, value-based, and actor-critic training methods
- Pros and cons for each type of training method
- The Bellman equation and its use in reinforcement learning
- Policy deployment
- Drawbacks of reinforcement learning
