Reinforcement Learning is concerned with how intelligent agents ought to take actions in an environment in order to maximize the notion of cumulative reward.
Reinforcement Learning is one of the three basic Machine Learning paradigms, alongside supervised learning and unsupervised learning.
- Upper Confidence Bound
- Thompson Sampling