Summary

This concludes our introductory journey into reinforcement learning. Over the course of this book, we learned how to implement agents that can play Atari games, navigate Minecraft, predict stock market prices, play the complex board game of Go, and even generate other neural networks to train on CIFAR-10 data. In doing so, you acquired and became accustomed to some of the fundamental and state-of-the-art deep learning and reinforcement learning algorithms. In short, you have achieved a lot!

But the journey does not and should not end here. We hope that, with your newfound skills and knowledge, you will continue to utilize deep learning and reinforcement learning algorithms to tackle problems that you face outside of this book. More importantly, we hope that this guide motivates you to explore other fields of machine learning and further develop your knowledge and experience.

There are many obstacles for the reinforcement learning community to overcome. However, there is much to look...