April 2018
Beginner to intermediate
566 pages
12h 17m
English
Congratulations, readers; you have made it to the end! We covered basic concepts related to reinforcement learning in this chapter. You learned about the various concepts and algorithms of building the gaming bot. You also learned how the Deep Q Learner algorithm works. Using the gym library, we loaded the gaming world. By using the dqn library, we will be able to train the model. Training a gaming bot that can defeat human level experts takes a lot of time. So, I trained it for a few hours only. If you want to train for more hours, you can definitely do that. We tried to build a variety of simple Atari games, such as a simple pathfinder gaming bot, Space Invaders, Pong, and Flappy Bird. You can expand this basic approach to the bigger ...