Hands-On Reinforcement Learning for Games

Building an MDP

In this hands-on exercise, we will build an MDP using a task from your own daily life or experience. This should allow you to better apply this abstract concept to something more tangible. Let's begin as follows:

1. Think of a daily task you do that may encompass six or so states. Examples of this may be going to school, getting dressed, eating, showering, browsing Facebook, and traveling.
2. Write each state within a circle on a full sheet of paper or perhaps some digital drawing app.
3. Connect the states with the actions you feel most appropriate. For example, don't get dressed before you shower.
4. Assign the probability you would use to take each action. For example, if you have two actions leaving a state, you could make them ...