Deep Reinforcement Learning in Action

Chapter 11. In conclusion: A review and roadmap

In this final chapter we’ll first take a moment to briefly review what we’ve learned, highlighting and distilling what we think are the most important skills and concepts to take away. We have covered the fundamentals of reinforcement learning and if you have made it this far and have engaged with the projects, you’re well-positioned to implement many other algorithms and techniques.

This book is a course on the fundamentals of deep reinforcement learning, not a textbook or reference. That means we could not possibly have introduced all there is to know about DRL, and we had to make tough choices about what to leave out. There are a number of exciting topics in DRL we wished we could have included, ...