1.1 RL

[FrancisLeon]

three categories of machine learning:

1. Supervised learning: description: learning from a training set of labeled examples provided by a knowledgable external supervisor. object: The object of this kind of learning is for the system to extrapolate, or generalize, its responses so that it acts correctly in situations not present in the training set.
2. unsupervised learning: description: typically about finding structure hidden in collections of unlabeled data.
3. RL: goal, action, observation diff between 1 and 2: trying to maximize a reward signal instead of trying to find hidden structure. diff between 1 and 2,3: One of the challenges that arise in reinforcement learning, and not in other kinds of learning, is the trade-off between exploration and exploitation.