The best way to learn and to avoid the illusion of competenceis to test yourself. This will help you to find where you need to reinforce your knowledge.
Q1: Which of the following tools are specifically designed for video games development?
Q2: What of the following statements are true about Unity ML-Agents?
Q3: Fill the missing letters
In Unity ML-Agents, the Policy of an Agent is called a b _ _ _ n
The component in charge of orchestrating the agents is called the _ c _ _ _ m _
Solution
b r a i n
a c a d e m y
Q4: Define with your own words what is a raycast
Solution
A raycast is (most of the times) a linear projection, as a `laser` which aims to detect collisions through objects.
Q5: Which are the differences between capturing the environment using frames or raycasts ?
Q6: Name several environment and agent input variables used to train the agent in the Snowball or Pyramid environments
Solution
- Collisions of the raycasts spawned from the agent detecting blocks, (invisible) walls, stones, our target, switches, etc.
- Traditional inputs describing agent features, as its speed
- Boolean vars, as the switch (on/off) in Pyramids or the `can I shoot?` in the SnowballTarget.
Congrats on finishing this Quiz 🥳, if you missed some elements, take time to read the chapter again to reinforce (😏) your knowledge.