QUESTIONS
Part 1 (Comprehension Questions ):
What was the goal of the researchers at DeepMind in London, according to the speaker?
2. What was the system developed by the researchers?
3. As stated by the speaker, what were the scores of the DQN versus the professional human games?
4. What was one notable and glaring exception of DQN?
5. How did the speaker define some systems using model-based approach?
6. Base on the speaker, how did he describe DQN system?
7. How could DQN know if it was on the right track, as described by the speaker?
8. How did DQN behave after the researchers worked out a way to plug in novelty into reinforcement learning?
9. How can novelty-based rewards sometimes create more problems than solution?
10. What are the two directions the speaker emphasized?
Part 2 (Express Yourself Questions):
- Do you learn anything from playing video games?
- Do you prefer playing video games alone, or against friends?
- Do you think video games make people sometimes violent?
- In your opinion, which company makes the best games?
- Do you want to be a game designer? What kinds of games would you design?
- Do you prefer watching movies or playing video games?
- Does your personality change when you’re gaming?
- In your point of view, are video games good for relieving stress?
- What will video games be like in the future?
- Are video games bad for your health?
- Which game are you best at?
- What are the main differences between human intelligence and AI?
- Can you think of an example of AI from a movie or book?
- What is the difference between robots and computers?
- What is the practical purpose of a drone?
- What are some examples of AI apps on mobile phones?
- Can you think of any other examples of AI games that you used to play?
- How are robots better than the human workforce?
- What do you think would happen to the world’s economy if robots began replacing people in the workforce?
- What threat do machines present to mankind?
