April 2019
Intermediate to advanced
212 pages
5h 34m
English
Content preview from Hands-On Q-Learning with Python
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Questions
- What is the difference between a reward and a value?
- What is a hyperparameter? Give an example of a hyperparameter other than the ones discussed in this chapter.
- Why will a Q-learning agent not choose the highest Q-valued action for its current state?
- Explain one benefit of a decaying gamma.
- Describe in one or two sentences the difference between the decision-making strategies of SARSA and Q-learning.
- What kind of policy does Q-learning implicitly assume the agent is following?
- Under what circumstances will SARSA and Q-learning produce the same results?
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.