Scala: Guide for Data Science Professionals

Summary

Reinforcement learning algorithms are sometimes overlooked by the software engineering community. Let's hope that this chapter provides adequate answers to the following questions:

• What is reinforcement learning?
• What are the different the different types of algorithms that qualify as reinforcement learning?
• How can we implement the Q-learning algorithm in Scala?
• How can we apply Q-learning to the optimization of option trading?
• What are the pros and cons of using reinforcement learning?
• What are learning classifier systems?
• What are the key components of the XCS algorithm?
• What are the potentials and limitations of learning classifier systems?

This concludes the introduction of the last category of learning techniques. The ever-increasing amount ...