In this chapter, we are going to tackle Markov's Decision Process (Q function) and apply it to reinforcement learning with the Bellman equation. You can find tons of source code and examples on the web. However, most of them are toy experiments that have nothing to do with real life. For example, reinforcement learning can be applied to an e-commerce business delivery person, self-driving vehicle, or a drone. You will find a program that calculates a drone delivery. However, it has many limits that need to be overcome. You as an adaptive thinker are going to ask some questions:
- What if there are 5,000 drones over a major city at the same time?
- Is a drone-jam legal? What about the noise ...
