Causal Inference, Machine Learning, Domain Adaptation, Reinforcement Learning.
probability distribution decreases and the gambler gains a better understanding of the probability of the machine. However, there’s a major issue: the probability distribution could be biased due to unobserved confounders. This can be solved with causal Thomson sampling. Causal Thomson sampling