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For questions about the upper confidence bound (UCB)-based algorithms or action selection strategies in the context e.g. of bandit or reinforcement learning problems.
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Difference in UCB performance when scaling the rewards
I notice the following behavior when running experiments with $\epsilon$-greedy and UCB1. If the reward is kept binary (0 or 1) both algorithm's performances are on par with each other. However, if I …