21
Advanced Exploration
Next, we will talk about the topic of exploration in reinforcement learning (RL). It has been mentioned several times in the book that the exploration/exploitation dilemma is a fundamental thing in RL and very important for efficient learning. However, in the previous examples, we used quite a trivial approach to exploring the environment, which was, in most cases, 
-greedy action selection. Now it's time to go deeper into the exploration subfield of RL.
In this chapter, we will:
- Discuss why exploration is such a fundamental topic in RL
- Explore the effectiveness of the epsilon-greedy (-greedy) approach
- Take a look at alternatives ...
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