I am building a solution for an environment with stochastic rewards in an online setting. I am wondering what the state of the art is in this setting. Is it $\epsilon$-greedy (with logistic regression), LinUCB (with ridge regression), Thompson Sampling (with some approximator)? Could maybe point me to the relevant papers/articles?


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