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    </div>

    <div class="ref-description">
    <p><code>ThompsonSamplingPolicy</code> works by maintaining a prior on the the mean rewards of its arms.
In this, it follows a beta-binomial model with parameters alpha and beta, sampling values
for each arm from its prior and picking the arm with the highest value.
When an arm is pulled and a Bernoulli reward is observed, it modifies the prior based on the reward.
This procedure is repeated for the next arm pull.</p>
    </div>



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