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: 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.