Reinforcement Learning and Its Relationship to Supervised Learning

This chapter focuses on presenting some key concepts of machine learning, approximate dynamic programming, and the relationships between them. Discussion and comparisons are made based on various aspects of the two fields such as training information, behavioral variety, problem conversion, applicable tasks, and so forth. This chapter mentions many real-world examples to illustrate some of the important distinctions being made. The primary focus of this chapter is a discussion of the concepts and strategies of machine learning, not necessarily algorithmic details. This chapter provides high-level perspective on machine learning and approximate dynamic programming.