Games have always been a phenomenon of human culture, where people manifest intelligence, interaction, and competition. But games are also an important theoretical paradigm in logic, artificial intelligence, computer science, linguistics, biology, and lately more and more in the social sciences and in psychology. Games, especially strategy games, offer reinforcement-learning algorithms an ideal and privileged environment for testing, as they can act as models for real problems. In this chapter, will learn how to use reinforcement-learning algorithms to address a problem in game theory.
The following are the topics covered:
- Basic concepts of game theory
- Game theory practical applications
- AlphaGo DeepMind project
- Monte Carlo Tree Search
- Convolutional networks
At the end of the chapter, the reader will have learned basic concepts of game theory, how the...
