Chapter 7. Playing Atari Games
an a machine learn how to play video games by itself and beat human players? Solving this problem is the first step toward general artificial intelligence (AI) in the field of gaming. The key technique to creating an AI player is deep reinforcement learning. In 2015, Google's DeepMind, one of the foremost AI/machine learning research teams (who are famous for building AlphaGo, the machine that beat Go champion Lee Sedol) proposed the deep Q-learning algorithm to build an AI player that can learn to play Atari 2600 games, and surpass a human expert on several games. This work made a great impact on AI research, showing the possibility of building general AI systems.
In this chapter, we will introduce how to use gym to play Atari 2600 games, and then explain why the deep Q-learning algorithm works and how to implement it using TensorFlow. The goal is to be able to understand deep reinforcement learning algorithms and how to apply them to solve real tasks. This...
