Questions

1. What is the difference between a reward and a value?
2. What is a hyperparameter? Give an example of a hyperparameter other than the ones discussed in this chapter. 
3. Why will a Q-learning agent not choose the highest Q-valued action for its current state?
4. Explain one benefit of a decaying gamma.
5. Describe in one or two sentences the difference between the decision-making strategies of SARSA and Q-learning.
6. What kind of policy does Q-learning implicitly assume the agent is following?
7. Under what circumstances will SARSA and Q-learning produce the same results?