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Bandit algorithms simulations for online learning
Hi, I have tried your linUCB disjoint implementation,
and I found that the lower alpha I set , the higher ctr rate it return.
When alpha = 0.01, the cumulate click rate almost converge to 0.9.
I guess something wrongs with the dataset since lower alpha means it nearly give up exploration.
Any idea of how this happened and how to fix it?
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