Importance sampling
Importance sampling (often abbreviated IS) is a Monte Carlo method for estimating the expectation of a function under a target probability distribution $$p$$ by drawing samples from a different proposal…
Reinforcement Learning
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Multi-armed bandit
A multi-armed bandit is a sequential decision problem in which a learner repeatedly picks one action from a fixed set, receives a random reward for that action only, and tries to accumulate as much reward as…