2.9. Online.Bandit.Algorithms.Regret.UCB
From the authors
Regret bounds for the UCB algorithm
Module LeanMachineLearning.Online.Bandit.Algorithms.Regret.UCB contains 18 exposed declarations.
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Bandits.UCB.gap_le_two_mul_ucbWidth -
Bandits.UCB.pullCount_le_of_ucbIndex_le -
Bandits.UCB.prob_ucbIndex_le -
Bandits.UCB.prob_lcbIndex_ge -
Bandits.UCB.pullCount_le_add_three -
Bandits.UCB.pullCount_le_add_three_ae -
Bandits.UCB.sum_indicator_good_event_eq_zero -
Bandits.UCB.pullCount_ae_le_add_two -
Bandits.UCB.constSum -
Bandits.UCB.constSum_nonneg -
Bandits.UCB.ofReal_constSum -
Bandits.UCB.constSum_le -
Bandits.UCB.expectation_pullCount_le' -
Bandits.UCB.expectation_pullCount_le -
Bandits.UCB.regret_le -
Bandits.UCB.regret_le_of_gt_two -
Bandits.UCB.regret_le' -
Bandits.UCB.regret_le_of_gt_two'