# Quiz

The best way to learn and [to avoid the illusion of competence](https://www.coursera.org/lecture/learning-how-to-learn/illusions-of-competence-BuFzf) **is to test yourself.** This will help you to find **where you need to reinforce your knowledge**.

### Q1: Chose the option which fits better when comparing different types of multi-agent environments

- Your agents aim to maximize common benefits in ____ environments
- Your agents aim to maximize common benefits while minimizing opponent's in ____ environments

### Q2: Which of the following statements are true about `decentralized` learning?

### Q3: Which of the following statements are true about `centralized` learning?

### Q4: Explain in your own words what is the `Self-Play` approach

Solution

`Self-play` is an approach to instantiate copies of agents with the same policy as your as opponents, so that your agent learns from agents with same training level.

### Q5: When configuring `Self-play`, several parameters are important. Could you identify, by their definition, which parameter are we talking about?

- The probability of playing against the current self vs an opponent from a pool
- Variety (dispersion) of training levels of the opponents you can face
- The number of training steps before spawning a new opponent
- Opponent change rate

### Q6: What are the main motivations to use a ELO rating Score?

Congrats on finishing this Quiz 🥳, if you missed some elements, take time to read the chapter again to reinforce (😏) your knowledge.

