The Hallway and VisualHallway examples are essentially the same game problem, but provide a different perspective, or what we may refer to in reinforcement learning as environment or game state. In the Hallway example, the agent learns by sensor input, which is something we will look at shortly, while in the VisualHallway example, the agent learns by a camera or player view. What will be helpful at this point is to understand how each example handles state, and how we can modify it.
In the following exercise, we will modify the Hallway input state and see the results:
- Jump back into the Hallway scene with learning enabled as we left it at the end of the last exercise.
- We will need to modify a few lines of C# code, nothing ...
