Causal Inference, Machine Learning, Domain Adaptation, Reinforcement Learning.
of the other approaches, the Thomson sampling approach doesn’t simply refine an estimate of the mean reward that has already been obtained. Instead, it creates a probability distribution using information from previous rewards. If the available rewards are binary (win or lose, as they are for the